際際滷shows by User: acijjournal / http://www.slideshare.net/images/logo.gif 際際滷shows by User: acijjournal / Fri, 13 Jun 2025 12:53:55 GMT 際際滷Share feed for 際際滷shows by User: acijjournal Application and Analysis of Ensemble Algorithms in Solving Regression Problems /slideshow/application-and-analysis-of-ensemble-algorithms-in-solving-regression-problems/280514844 16325acij01-250613125355-fcb04eca
Accurate crop yield prediction is critical for enhancing food security, particularly in agrarian economies prone to soil degradation and climatic uncertainties. This study explores the application of Support Vector Regression (SVR) for forecasting wheat yields in Uzbekistan, utilizing soil fertility indicators as key predictive features. Unlike conventional linear regression models, SVR effectively captures complex nonlinear interactions between soil physicochemical properties and crop productivity, thereby offering improved adaptability to real-world agricultural conditions. The dataset comprises essential soil attributes, including nitrogen (N), phosphorus (P), potassium (K), pH, organic carbon (OC), electrical conductivity (EC), and micro-nutrient concentrations. Data preprocessing involved feature standardization, K-nearest neighbor (KNN) imputation for handling missing values, and correlation analysis to select the most influential variables. The dataset was partitioned using an 80/20 stratified split, and the SVR model with a radial basis function (RBF) kernel was optimized through 5-fold crossvalidation and exhaustive grid search for hyperparameter tuning. The optimized SVR model achieved a coefficient of determination ( 2 ) of 0.87 and demonstrated a low root mean square error (RMSE), outperforming baseline regression methods. Model interpretability was enhanced using SHapley Additive exPlanations (SHAP), which identified soil pH, organic carbon, and available phosphorus as the most significant predictors of wheat yieldfindings consistent with established agronomic principles. Overall, the results confirm SVRs potential as a robust, scalable, and interpretable tool for precision agriculture, offering practical insights for site-specific yield forecasting and promoting sustainable land management practices in Uzbekistan.]]>
Accurate crop yield prediction is critical for enhancing food security, particularly in agrarian economies prone to soil degradation and climatic uncertainties. This study explores the application of Support Vector Regression (SVR) for forecasting wheat yields in Uzbekistan, utilizing soil fertility indicators as key predictive features. Unlike conventional linear regression models, SVR effectively captures complex nonlinear interactions between soil physicochemical properties and crop productivity, thereby offering improved adaptability to real-world agricultural conditions. The dataset comprises essential soil attributes, including nitrogen (N), phosphorus (P), potassium (K), pH, organic carbon (OC), electrical conductivity (EC), and micro-nutrient concentrations. Data preprocessing involved feature standardization, K-nearest neighbor (KNN) imputation for handling missing values, and correlation analysis to select the most influential variables. The dataset was partitioned using an 80/20 stratified split, and the SVR model with a radial basis function (RBF) kernel was optimized through 5-fold crossvalidation and exhaustive grid search for hyperparameter tuning. The optimized SVR model achieved a coefficient of determination ( 2 ) of 0.87 and demonstrated a low root mean square error (RMSE), outperforming baseline regression methods. Model interpretability was enhanced using SHapley Additive exPlanations (SHAP), which identified soil pH, organic carbon, and available phosphorus as the most significant predictors of wheat yieldfindings consistent with established agronomic principles. Overall, the results confirm SVRs potential as a robust, scalable, and interpretable tool for precision agriculture, offering practical insights for site-specific yield forecasting and promoting sustainable land management practices in Uzbekistan.]]> Fri, 13 Jun 2025 12:53:55 GMT /slideshow/application-and-analysis-of-ensemble-algorithms-in-solving-regression-problems/280514844 acijjournal@slideshare.net(acijjournal) Application and Analysis of Ensemble Algorithms in Solving Regression Problems acijjournal Accurate crop yield prediction is critical for enhancing food security, particularly in agrarian economies prone to soil degradation and climatic uncertainties. This study explores the application of Support Vector Regression (SVR) for forecasting wheat yields in Uzbekistan, utilizing soil fertility indicators as key predictive features. Unlike conventional linear regression models, SVR effectively captures complex nonlinear interactions between soil physicochemical properties and crop productivity, thereby offering improved adaptability to real-world agricultural conditions. The dataset comprises essential soil attributes, including nitrogen (N), phosphorus (P), potassium (K), pH, organic carbon (OC), electrical conductivity (EC), and micro-nutrient concentrations. Data preprocessing involved feature standardization, K-nearest neighbor (KNN) imputation for handling missing values, and correlation analysis to select the most influential variables. The dataset was partitioned using an 80/20 stratified split, and the SVR model with a radial basis function (RBF) kernel was optimized through 5-fold crossvalidation and exhaustive grid search for hyperparameter tuning. The optimized SVR model achieved a coefficient of determination ( 2 ) of 0.87 and demonstrated a low root mean square error (RMSE), outperforming baseline regression methods. Model interpretability was enhanced using SHapley Additive exPlanations (SHAP), which identified soil pH, organic carbon, and available phosphorus as the most significant predictors of wheat yieldfindings consistent with established agronomic principles. Overall, the results confirm SVRs potential as a robust, scalable, and interpretable tool for precision agriculture, offering practical insights for site-specific yield forecasting and promoting sustainable land management practices in Uzbekistan. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/16325acij01-250613125355-fcb04eca-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Accurate crop yield prediction is critical for enhancing food security, particularly in agrarian economies prone to soil degradation and climatic uncertainties. This study explores the application of Support Vector Regression (SVR) for forecasting wheat yields in Uzbekistan, utilizing soil fertility indicators as key predictive features. Unlike conventional linear regression models, SVR effectively captures complex nonlinear interactions between soil physicochemical properties and crop productivity, thereby offering improved adaptability to real-world agricultural conditions. The dataset comprises essential soil attributes, including nitrogen (N), phosphorus (P), potassium (K), pH, organic carbon (OC), electrical conductivity (EC), and micro-nutrient concentrations. Data preprocessing involved feature standardization, K-nearest neighbor (KNN) imputation for handling missing values, and correlation analysis to select the most influential variables. The dataset was partitioned using an 80/20 stratified split, and the SVR model with a radial basis function (RBF) kernel was optimized through 5-fold crossvalidation and exhaustive grid search for hyperparameter tuning. The optimized SVR model achieved a coefficient of determination ( 2 ) of 0.87 and demonstrated a low root mean square error (RMSE), outperforming baseline regression methods. Model interpretability was enhanced using SHapley Additive exPlanations (SHAP), which identified soil pH, organic carbon, and available phosphorus as the most significant predictors of wheat yieldfindings consistent with established agronomic principles. Overall, the results confirm SVRs potential as a robust, scalable, and interpretable tool for precision agriculture, offering practical insights for site-specific yield forecasting and promoting sustainable land management practices in Uzbekistan.
Application and Analysis of Ensemble Algorithms in Solving Regression Problems from acijjournal
]]> 6 0 https://cdn.slidesharecdn.com/ss_thumbnails/16325acij01-250613125355-fcb04eca-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 17th International Conference on Networks & Communications (NeTCoM 2025) /slideshow/17th-international-conference-on-networks-communications-netcom-2025/279913176 netcom2025cfp-250530080100-0bc21f3c
17th International Conference on Networks & Communications (NeTCoM 2025) July 19 ~ 20, 2025, Toronto, Canada https://cseit2025.org/netcom/index Scope & Topics 17th International Conference on Networks & Communications (NeTCoM 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Networks & Data Communications. The Conference looks for significant contributions to the Computer Networks & Communications for wired and wireless networks in theoretical and practical aspects. Original papers are invited on Computer Networks, Network Protocols and Wireless Networks, Data Communication Technologies, and Network Security. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following 5G/6G Cellular Systems and Heterogeneous Networks Addressing & Location Management Adhoc and Sensor Networks Big data / Cloud computing and Networks Big Data / IoT Analytics in Networking Blockchain and Distributed Ledger Broadband Access Technologies Cross Layer Design and Optimization High Speed Networks Information / Content Centric Networks (ICN) Internet and Web Applications Internet Measurement and Modeling Internet of Things (IoT) Machine Learning and AI in Networking Measurement & Performance Analysis Mobile & Broadband Wireless Internet Mobile Networks & Wireless LAN Network Architectures Network Based Applications Network Operations & Management Network Protocols & Wireless Networks Network Security Trust, & Privacy Next Generation Internet & Web Architectures Peer to Peer and Overlay Networks QOS And Resource Management Recent Trends & Developments in Computer Networks Routing, Switching and Addressing Techniques SDN/NFV and Network Programmability Self-Organizing Networks and Networked Systems Software-Defined Networking (SDN) and Network Virtualization Ubiquitous Networks Vehicle-to-everything (V2X) and Autonomous cars Vehicular Networks & Intelligent Transportation Virtual & Overlay Networks SVR/AR Streaming Wireless Communications Wireless Mesh Networks and Protocols Wireless Multimedia Systems Paper Submission Authors are invited to submit papers through the conference Submission System by May 31, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & In]]>
17th International Conference on Networks & Communications (NeTCoM 2025) July 19 ~ 20, 2025, Toronto, Canada https://cseit2025.org/netcom/index Scope & Topics 17th International Conference on Networks & Communications (NeTCoM 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Networks & Data Communications. The Conference looks for significant contributions to the Computer Networks & Communications for wired and wireless networks in theoretical and practical aspects. Original papers are invited on Computer Networks, Network Protocols and Wireless Networks, Data Communication Technologies, and Network Security. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following 5G/6G Cellular Systems and Heterogeneous Networks Addressing & Location Management Adhoc and Sensor Networks Big data / Cloud computing and Networks Big Data / IoT Analytics in Networking Blockchain and Distributed Ledger Broadband Access Technologies Cross Layer Design and Optimization High Speed Networks Information / Content Centric Networks (ICN) Internet and Web Applications Internet Measurement and Modeling Internet of Things (IoT) Machine Learning and AI in Networking Measurement & Performance Analysis Mobile & Broadband Wireless Internet Mobile Networks & Wireless LAN Network Architectures Network Based Applications Network Operations & Management Network Protocols & Wireless Networks Network Security Trust, & Privacy Next Generation Internet & Web Architectures Peer to Peer and Overlay Networks QOS And Resource Management Recent Trends & Developments in Computer Networks Routing, Switching and Addressing Techniques SDN/NFV and Network Programmability Self-Organizing Networks and Networked Systems Software-Defined Networking (SDN) and Network Virtualization Ubiquitous Networks Vehicle-to-everything (V2X) and Autonomous cars Vehicular Networks & Intelligent Transportation Virtual & Overlay Networks SVR/AR Streaming Wireless Communications Wireless Mesh Networks and Protocols Wireless Multimedia Systems Paper Submission Authors are invited to submit papers through the conference Submission System by May 31, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & In]]> Fri, 30 May 2025 08:01:00 GMT /slideshow/17th-international-conference-on-networks-communications-netcom-2025/279913176 acijjournal@slideshare.net(acijjournal) 17th International Conference on Networks & Communications (NeTCoM 2025) acijjournal 17th International Conference on Networks & Communications (NeTCoM 2025) July 19 ~ 20, 2025, Toronto, Canada https://cseit2025.org/netcom/index Scope & Topics 17th International Conference on Networks & Communications (NeTCoM 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Networks & Data Communications. The Conference looks for significant contributions to the Computer Networks & Communications for wired and wireless networks in theoretical and practical aspects. Original papers are invited on Computer Networks, Network Protocols and Wireless Networks, Data Communication Technologies, and Network Security. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following 5G/6G Cellular Systems and Heterogeneous Networks Addressing & Location Management Adhoc and Sensor Networks Big data / Cloud computing and Networks Big Data / IoT Analytics in Networking Blockchain and Distributed Ledger Broadband Access Technologies Cross Layer Design and Optimization High Speed Networks Information / Content Centric Networks (ICN) Internet and Web Applications Internet Measurement and Modeling Internet of Things (IoT) Machine Learning and AI in Networking Measurement & Performance Analysis Mobile & Broadband Wireless Internet Mobile Networks & Wireless LAN Network Architectures Network Based Applications Network Operations & Management Network Protocols & Wireless Networks Network Security Trust, & Privacy Next Generation Internet & Web Architectures Peer to Peer and Overlay Networks QOS And Resource Management Recent Trends & Developments in Computer Networks Routing, Switching and Addressing Techniques SDN/NFV and Network Programmability Self-Organizing Networks and Networked Systems Software-Defined Networking (SDN) and Network Virtualization Ubiquitous Networks Vehicle-to-everything (V2X) and Autonomous cars Vehicular Networks & Intelligent Transportation Virtual & Overlay Networks SVR/AR Streaming Wireless Communications Wireless Mesh Networks and Protocols Wireless Multimedia Systems Paper Submission Authors are invited to submit papers through the conference Submission System by May 31, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & In <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netcom2025cfp-250530080100-0bc21f3c-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 17th International Conference on Networks &amp; Communications (NeTCoM 2025) July 19 ~ 20, 2025, Toronto, Canada https://cseit2025.org/netcom/index Scope &amp; Topics 17th International Conference on Networks &amp; Communications (NeTCoM 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Networks &amp; Data Communications. The Conference looks for significant contributions to the Computer Networks &amp; Communications for wired and wireless networks in theoretical and practical aspects. Original papers are invited on Computer Networks, Network Protocols and Wireless Networks, Data Communication Technologies, and Network Security. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following 5G/6G Cellular Systems and Heterogeneous Networks Addressing &amp; Location Management Adhoc and Sensor Networks Big data / Cloud computing and Networks Big Data / IoT Analytics in Networking Blockchain and Distributed Ledger Broadband Access Technologies Cross Layer Design and Optimization High Speed Networks Information / Content Centric Networks (ICN) Internet and Web Applications Internet Measurement and Modeling Internet of Things (IoT) Machine Learning and AI in Networking Measurement &amp; Performance Analysis Mobile &amp; Broadband Wireless Internet Mobile Networks &amp; Wireless LAN Network Architectures Network Based Applications Network Operations &amp; Management Network Protocols &amp; Wireless Networks Network Security Trust, &amp; Privacy Next Generation Internet &amp; Web Architectures Peer to Peer and Overlay Networks QOS And Resource Management Recent Trends &amp; Developments in Computer Networks Routing, Switching and Addressing Techniques SDN/NFV and Network Programmability Self-Organizing Networks and Networked Systems Software-Defined Networking (SDN) and Network Virtualization Ubiquitous Networks Vehicle-to-everything (V2X) and Autonomous cars Vehicular Networks &amp; Intelligent Transportation Virtual &amp; Overlay Networks SVR/AR Streaming Wireless Communications Wireless Mesh Networks and Protocols Wireless Multimedia Systems Paper Submission Authors are invited to submit papers through the conference Submission System by May 31, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science &amp; In
17th International Conference on Networks & Communications (NeTCoM 2025) from acijjournal
]]> 7 0 https://cdn.slidesharecdn.com/ss_thumbnails/netcom2025cfp-250530080100-0bc21f3c-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE /slideshow/methods-and-algorithms-for-assessing-computer-network-performance-fe1f/279810957 15624acij01-250528154458-51f29605
The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems.]]>
The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems.]]> Wed, 28 May 2025 15:44:58 GMT /slideshow/methods-and-algorithms-for-assessing-computer-network-performance-fe1f/279810957 acijjournal@slideshare.net(acijjournal) METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE acijjournal The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/15624acij01-250528154458-51f29605-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems.
METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE from acijjournal
]]> 5 0 https://cdn.slidesharecdn.com/ss_thumbnails/15624acij01-250528154458-51f29605-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Advanced Computing: An International Journal (ACIJ) /slideshow/advanced-computing-an-international-journal-acij-bb2c/279745713 acijcfp3-250527092519-66b3945f
Advanced Computing: An International Journal (ACIJ) ISSN: 2229 - 6727 [Online]; 2229 - 726X [Print] http://airccse.org/journal/acij/acij.html Scope & Topics Advanced Computing: An International Journal (ACIJ) is a peer-reviewed, open access peerreviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and a practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing. Topics of interest include, but are not limited to, the following High Performance Computing Pervasive Computing Green Computing Grid Computing Soft Computing Cloud computing Aspect Oriented Programming E-learning/ E-Governance Software Engineering / Metrics / Testing Cyber Security Knowledge Management & Ontology Data Mining Semantic Web DNA computing Gaming Models Quantum Computing Paper Submission Bio-Metrics SOA Nano Computing Artificial Intelligence Machine Learning Natural Language Processing Hybrid Intelligent Systems AR/ VR Applications Computer Vision & Applications Big Data , Databases Internet of Things (IoT) Advanced Networking Technology Security, Cryptography, Blockchain Deep Learning Advances in Interdisciplinary areas Reinforcement Learning Advances in Data Science Authors are invited to submit papers for this journal through E-mail: acij@aircconline.com or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates Submission Deadline : May 31, 2025 Notification : June 23, 2025 Final Manuscript Due : June 28, 2025 Publication Date : Determined by the Editor-in-Chief]]>
Advanced Computing: An International Journal (ACIJ) ISSN: 2229 - 6727 [Online]; 2229 - 726X [Print] http://airccse.org/journal/acij/acij.html Scope & Topics Advanced Computing: An International Journal (ACIJ) is a peer-reviewed, open access peerreviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and a practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing. Topics of interest include, but are not limited to, the following High Performance Computing Pervasive Computing Green Computing Grid Computing Soft Computing Cloud computing Aspect Oriented Programming E-learning/ E-Governance Software Engineering / Metrics / Testing Cyber Security Knowledge Management & Ontology Data Mining Semantic Web DNA computing Gaming Models Quantum Computing Paper Submission Bio-Metrics SOA Nano Computing Artificial Intelligence Machine Learning Natural Language Processing Hybrid Intelligent Systems AR/ VR Applications Computer Vision & Applications Big Data , Databases Internet of Things (IoT) Advanced Networking Technology Security, Cryptography, Blockchain Deep Learning Advances in Interdisciplinary areas Reinforcement Learning Advances in Data Science Authors are invited to submit papers for this journal through E-mail: acij@aircconline.com or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates Submission Deadline : May 31, 2025 Notification : June 23, 2025 Final Manuscript Due : June 28, 2025 Publication Date : Determined by the Editor-in-Chief]]> Tue, 27 May 2025 09:25:19 GMT /slideshow/advanced-computing-an-international-journal-acij-bb2c/279745713 acijjournal@slideshare.net(acijjournal) Advanced Computing: An International Journal (ACIJ) acijjournal Advanced Computing: An International Journal (ACIJ) ISSN: 2229 - 6727 [Online]; 2229 - 726X [Print] http://airccse.org/journal/acij/acij.html Scope & Topics Advanced Computing: An International Journal (ACIJ) is a peer-reviewed, open access peerreviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and a practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing. Topics of interest include, but are not limited to, the following High Performance Computing Pervasive Computing Green Computing Grid Computing Soft Computing Cloud computing Aspect Oriented Programming E-learning/ E-Governance Software Engineering / Metrics / Testing Cyber Security Knowledge Management & Ontology Data Mining Semantic Web DNA computing Gaming Models Quantum Computing Paper Submission Bio-Metrics SOA Nano Computing Artificial Intelligence Machine Learning Natural Language Processing Hybrid Intelligent Systems AR/ VR Applications Computer Vision & Applications Big Data , Databases Internet of Things (IoT) Advanced Networking Technology Security, Cryptography, Blockchain Deep Learning Advances in Interdisciplinary areas Reinforcement Learning Advances in Data Science Authors are invited to submit papers for this journal through E-mail: acij@aircconline.com or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates Submission Deadline : May 31, 2025 Notification : June 23, 2025 Final Manuscript Due : June 28, 2025 Publication Date : Determined by the Editor-in-Chief <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/acijcfp3-250527092519-66b3945f-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Advanced Computing: An International Journal (ACIJ) ISSN: 2229 - 6727 [Online]; 2229 - 726X [Print] http://airccse.org/journal/acij/acij.html Scope &amp; Topics Advanced Computing: An International Journal (ACIJ) is a peer-reviewed, open access peerreviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and a practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing. Topics of interest include, but are not limited to, the following High Performance Computing Pervasive Computing Green Computing Grid Computing Soft Computing Cloud computing Aspect Oriented Programming E-learning/ E-Governance Software Engineering / Metrics / Testing Cyber Security Knowledge Management &amp; Ontology Data Mining Semantic Web DNA computing Gaming Models Quantum Computing Paper Submission Bio-Metrics SOA Nano Computing Artificial Intelligence Machine Learning Natural Language Processing Hybrid Intelligent Systems AR/ VR Applications Computer Vision &amp; Applications Big Data , Databases Internet of Things (IoT) Advanced Networking Technology Security, Cryptography, Blockchain Deep Learning Advances in Interdisciplinary areas Reinforcement Learning Advances in Data Science Authors are invited to submit papers for this journal through E-mail: acij@aircconline.com or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates Submission Deadline : May 31, 2025 Notification : June 23, 2025 Final Manuscript Due : June 28, 2025 Publication Date : Determined by the Editor-in-Chief
Advanced Computing: An International Journal (ACIJ) from acijjournal
]]> 8 0 https://cdn.slidesharecdn.com/ss_thumbnails/acijcfp3-250527092519-66b3945f-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 6 th International Conference on Data Mining and Software Engineering (DMSE 2025) /slideshow/6-th-international-conference-on-data-mining-and-software-engineering-dmse-2025/279743908 dmse202516-250527083702-be364ce9
modern software engineering concepts and establishing new collaborations in these areas. Topics of interest Advanced Topics in Software Engineering Data Mining Applications Data Mining in Modeling, Visualization, Personalization and Recommendation Data Mining Systems and Platforms, Efficiency, Scalability and Privacy Embedded System and Software Foundations, Algorithms, Models, and Theory Knowledge Processing Knowledge-based Systems and Formal Methods Languages and Formal Methods Managing Software Projects Mining Text, Semi-Structured, Spatio-Temporal, Streaming, Graph, Web, Multimedia Multimedia and Visual Software Engineering Quality Management Search Engines and Information Retrieval Software Engineering Decision Making Software Engineering Practice Software Maintenance and Testing Software Process Web Engineering Web-based Education Systems and Learning Applications Paper Submission Authors are invited to submit papers through the conference Submission System by May 31, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the]]>
modern software engineering concepts and establishing new collaborations in these areas. Topics of interest Advanced Topics in Software Engineering Data Mining Applications Data Mining in Modeling, Visualization, Personalization and Recommendation Data Mining Systems and Platforms, Efficiency, Scalability and Privacy Embedded System and Software Foundations, Algorithms, Models, and Theory Knowledge Processing Knowledge-based Systems and Formal Methods Languages and Formal Methods Managing Software Projects Mining Text, Semi-Structured, Spatio-Temporal, Streaming, Graph, Web, Multimedia Multimedia and Visual Software Engineering Quality Management Search Engines and Information Retrieval Software Engineering Decision Making Software Engineering Practice Software Maintenance and Testing Software Process Web Engineering Web-based Education Systems and Learning Applications Paper Submission Authors are invited to submit papers through the conference Submission System by May 31, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the]]> Tue, 27 May 2025 08:37:02 GMT /slideshow/6-th-international-conference-on-data-mining-and-software-engineering-dmse-2025/279743908 acijjournal@slideshare.net(acijjournal) 6 th International Conference on Data Mining and Software Engineering (DMSE 2025) acijjournal modern software engineering concepts and establishing new collaborations in these areas. Topics of interest Advanced Topics in Software Engineering Data Mining Applications Data Mining in Modeling, Visualization, Personalization and Recommendation Data Mining Systems and Platforms, Efficiency, Scalability and Privacy Embedded System and Software Foundations, Algorithms, Models, and Theory Knowledge Processing Knowledge-based Systems and Formal Methods Languages and Formal Methods Managing Software Projects Mining Text, Semi-Structured, Spatio-Temporal, Streaming, Graph, Web, Multimedia Multimedia and Visual Software Engineering Quality Management Search Engines and Information Retrieval Software Engineering Decision Making Software Engineering Practice Software Maintenance and Testing Software Process Web Engineering Web-based Education Systems and Learning Applications Paper Submission Authors are invited to submit papers through the conference Submission System by May 31, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dmse202516-250527083702-be364ce9-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> modern software engineering concepts and establishing new collaborations in these areas. Topics of interest Advanced Topics in Software Engineering Data Mining Applications Data Mining in Modeling, Visualization, Personalization and Recommendation Data Mining Systems and Platforms, Efficiency, Scalability and Privacy Embedded System and Software Foundations, Algorithms, Models, and Theory Knowledge Processing Knowledge-based Systems and Formal Methods Languages and Formal Methods Managing Software Projects Mining Text, Semi-Structured, Spatio-Temporal, Streaming, Graph, Web, Multimedia Multimedia and Visual Software Engineering Quality Management Search Engines and Information Retrieval Software Engineering Decision Making Software Engineering Practice Software Maintenance and Testing Software Process Web Engineering Web-based Education Systems and Learning Applications Paper Submission Authors are invited to submit papers through the conference Submission System by May 31, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the
6 th International Conference on Data Mining and Software Engineering (DMSE 2025) from acijjournal
]]> 5 0 https://cdn.slidesharecdn.com/ss_thumbnails/dmse202516-250527083702-be364ce9-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ARTICLE :OVERVIEW OF STRUCTURE FROM MOTION /slideshow/article-overview-of-structure-from-motion/278593173 15524acij02-250430110522-87701a31
ABSTRACT In this paper is given an overview of tools and techniques for obtain information about the geometry of 3D scenes from 2D images. The generating three-dimensional structure from a series of 2D images or video of scenes is known as Structure from Motion (SfM). A central tenet of structure from motion is that, given the position of a feature in one image, it is possible to find the corresponding position of the same feature in successive images. We described methods for the simultaneous recovery of 3D points and camera projection matrices using corresponding image points in multiple views. Structure from Motion (SfM) is a fascinating field within computer vision that seeks to reconstruct a three-dimensional structure of the environment from a sequence of two-dimensional images. At the heart of SfM lies a set of sophisticated algorithms that enable the extraction of spatial information from a series of images. Two public repositories that may be of use are Open SfM and Colmap. KEYWORDS Image processing, image projection, epipolar geometry, camera calibration, projection matrix, triangulation. 1. INTRODUCTION 3D models are used in many fields such as animation, computer games, virtual reality, film industry, computer vision, etc. The generating of 3D models can be done in many ways, from a series of images, manually and also 3D models can be generated from video [1],[2]. The generating three-dimensional structure from a series of 2D images or video of scenes is interesting area for research and this problem is known as Structure from Motion (SfM). This process recovers the 3D structure of a scene and the orientation and position of the camera when each image was captured. SfM is trying to recover, from segments of images the 3D structure of a]]>
ABSTRACT In this paper is given an overview of tools and techniques for obtain information about the geometry of 3D scenes from 2D images. The generating three-dimensional structure from a series of 2D images or video of scenes is known as Structure from Motion (SfM). A central tenet of structure from motion is that, given the position of a feature in one image, it is possible to find the corresponding position of the same feature in successive images. We described methods for the simultaneous recovery of 3D points and camera projection matrices using corresponding image points in multiple views. Structure from Motion (SfM) is a fascinating field within computer vision that seeks to reconstruct a three-dimensional structure of the environment from a sequence of two-dimensional images. At the heart of SfM lies a set of sophisticated algorithms that enable the extraction of spatial information from a series of images. Two public repositories that may be of use are Open SfM and Colmap. KEYWORDS Image processing, image projection, epipolar geometry, camera calibration, projection matrix, triangulation. 1. INTRODUCTION 3D models are used in many fields such as animation, computer games, virtual reality, film industry, computer vision, etc. The generating of 3D models can be done in many ways, from a series of images, manually and also 3D models can be generated from video [1],[2]. The generating three-dimensional structure from a series of 2D images or video of scenes is interesting area for research and this problem is known as Structure from Motion (SfM). This process recovers the 3D structure of a scene and the orientation and position of the camera when each image was captured. SfM is trying to recover, from segments of images the 3D structure of a]]> Wed, 30 Apr 2025 11:05:22 GMT /slideshow/article-overview-of-structure-from-motion/278593173 acijjournal@slideshare.net(acijjournal) ARTICLE :OVERVIEW OF STRUCTURE FROM MOTION acijjournal ABSTRACT In this paper is given an overview of tools and techniques for obtain information about the geometry of 3D scenes from 2D images. The generating three-dimensional structure from a series of 2D images or video of scenes is known as Structure from Motion (SfM). A central tenet of structure from motion is that, given the position of a feature in one image, it is possible to find the corresponding position of the same feature in successive images. We described methods for the simultaneous recovery of 3D points and camera projection matrices using corresponding image points in multiple views. Structure from Motion (SfM) is a fascinating field within computer vision that seeks to reconstruct a three-dimensional structure of the environment from a sequence of two-dimensional images. At the heart of SfM lies a set of sophisticated algorithms that enable the extraction of spatial information from a series of images. Two public repositories that may be of use are Open SfM and Colmap. KEYWORDS Image processing, image projection, epipolar geometry, camera calibration, projection matrix, triangulation. 1. INTRODUCTION 3D models are used in many fields such as animation, computer games, virtual reality, film industry, computer vision, etc. The generating of 3D models can be done in many ways, from a series of images, manually and also 3D models can be generated from video [1],[2]. The generating three-dimensional structure from a series of 2D images or video of scenes is interesting area for research and this problem is known as Structure from Motion (SfM). This process recovers the 3D structure of a scene and the orientation and position of the camera when each image was captured. SfM is trying to recover, from segments of images the 3D structure of a <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/15524acij02-250430110522-87701a31-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ABSTRACT In this paper is given an overview of tools and techniques for obtain information about the geometry of 3D scenes from 2D images. The generating three-dimensional structure from a series of 2D images or video of scenes is known as Structure from Motion (SfM). A central tenet of structure from motion is that, given the position of a feature in one image, it is possible to find the corresponding position of the same feature in successive images. We described methods for the simultaneous recovery of 3D points and camera projection matrices using corresponding image points in multiple views. Structure from Motion (SfM) is a fascinating field within computer vision that seeks to reconstruct a three-dimensional structure of the environment from a sequence of two-dimensional images. At the heart of SfM lies a set of sophisticated algorithms that enable the extraction of spatial information from a series of images. Two public repositories that may be of use are Open SfM and Colmap. KEYWORDS Image processing, image projection, epipolar geometry, camera calibration, projection matrix, triangulation. 1. INTRODUCTION 3D models are used in many fields such as animation, computer games, virtual reality, film industry, computer vision, etc. The generating of 3D models can be done in many ways, from a series of images, manually and also 3D models can be generated from video [1],[2]. The generating three-dimensional structure from a series of 2D images or video of scenes is interesting area for research and this problem is known as Structure from Motion (SfM). This process recovers the 3D structure of a scene and the orientation and position of the camera when each image was captured. SfM is trying to recover, from segments of images the 3D structure of a
ARTICLE :OVERVIEW OF STRUCTURE FROM MOTION from acijjournal
]]> 10 0 https://cdn.slidesharecdn.com/ss_thumbnails/15524acij02-250430110522-87701a31-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) /slideshow/14th-international-conference-on-advanced-information-technologies-and-applications-icaita-2025/278256225 icaita2025cfp-250422073448-8cc83968
14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) May 17 ~ 18, 2025, Zurich, Switzerland https://icaita2025.org/ Scope & Topics 14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) is an international forum for sharing knowledge and results in theory, methodology and new advances and research results in the fields of Emerging Information Technologies and Applications. The conference will bring together researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. The Conference welcomes significant contributions in all major fields of the Computer Science and Information Technology in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following Algorithms and Bioinformatics Compiler Design Computer Architecture and Real time Systems Computer Graphics Database and Data Mining Dependable, Reliable and Autonomic Computing Distributed, Parallel Systems & Algorithms DSP/Image Processing/Pattern Recognition/Multimedia Embedded System and Software Game Theory Geographical Information Systems/Global Navigation Satellite Systems (GIS/GNSS) Grid and Scalable Computing Integrating Technology in Education Intelligent Information & Database Systems IT Policy and Business Management Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Natural Language Processing Networking and Communications Operating Systems Performance Evaluation Programming Languages Security and Privacy Social Computing Soft Computing Software Design Patterns & Engineering Software Testing and Quality Symbolic Computation Telemedicine Theoretical Computer Science Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by April 26, 2025 (Final Call). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from ICAITA 2025, after further revisions, will be published in the special issues of the following journals. International Journal of Computer Science & Information Technology (IJCSIT) - WJCI,INSPEC Indexed International Journal of Computer Science and Engineering Survey (IJCSES) Computer Science & Engineering: An International Journal (CSEIJ) Advanced Computing: An International Journal (ACIJ) ]]>
14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) May 17 ~ 18, 2025, Zurich, Switzerland https://icaita2025.org/ Scope & Topics 14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) is an international forum for sharing knowledge and results in theory, methodology and new advances and research results in the fields of Emerging Information Technologies and Applications. The conference will bring together researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. The Conference welcomes significant contributions in all major fields of the Computer Science and Information Technology in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following Algorithms and Bioinformatics Compiler Design Computer Architecture and Real time Systems Computer Graphics Database and Data Mining Dependable, Reliable and Autonomic Computing Distributed, Parallel Systems & Algorithms DSP/Image Processing/Pattern Recognition/Multimedia Embedded System and Software Game Theory Geographical Information Systems/Global Navigation Satellite Systems (GIS/GNSS) Grid and Scalable Computing Integrating Technology in Education Intelligent Information & Database Systems IT Policy and Business Management Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Natural Language Processing Networking and Communications Operating Systems Performance Evaluation Programming Languages Security and Privacy Social Computing Soft Computing Software Design Patterns & Engineering Software Testing and Quality Symbolic Computation Telemedicine Theoretical Computer Science Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by April 26, 2025 (Final Call). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from ICAITA 2025, after further revisions, will be published in the special issues of the following journals. International Journal of Computer Science & Information Technology (IJCSIT) - WJCI,INSPEC Indexed International Journal of Computer Science and Engineering Survey (IJCSES) Computer Science & Engineering: An International Journal (CSEIJ) Advanced Computing: An International Journal (ACIJ) ]]> Tue, 22 Apr 2025 07:34:48 GMT /slideshow/14th-international-conference-on-advanced-information-technologies-and-applications-icaita-2025/278256225 acijjournal@slideshare.net(acijjournal) 14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) acijjournal 14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) May 17 ~ 18, 2025, Zurich, Switzerland https://icaita2025.org/ Scope & Topics 14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) is an international forum for sharing knowledge and results in theory, methodology and new advances and research results in the fields of Emerging Information Technologies and Applications. The conference will bring together researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. The Conference welcomes significant contributions in all major fields of the Computer Science and Information Technology in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following Algorithms and Bioinformatics Compiler Design Computer Architecture and Real time Systems Computer Graphics Database and Data Mining Dependable, Reliable and Autonomic Computing Distributed, Parallel Systems & Algorithms DSP/Image Processing/Pattern Recognition/Multimedia Embedded System and Software Game Theory Geographical Information Systems/Global Navigation Satellite Systems (GIS/GNSS) Grid and Scalable Computing Integrating Technology in Education Intelligent Information & Database Systems IT Policy and Business Management Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Natural Language Processing Networking and Communications Operating Systems Performance Evaluation Programming Languages Security and Privacy Social Computing Soft Computing Software Design Patterns & Engineering Software Testing and Quality Symbolic Computation Telemedicine Theoretical Computer Science Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by April 26, 2025 (Final Call). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from ICAITA 2025, after further revisions, will be published in the special issues of the following journals. International Journal of Computer Science & Information Technology (IJCSIT) - WJCI,INSPEC Indexed International Journal of Computer Science and Engineering Survey (IJCSES) Computer Science & Engineering: An International Journal (CSEIJ) Advanced Computing: An International Journal (ACIJ) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/icaita2025cfp-250422073448-8cc83968-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) May 17 ~ 18, 2025, Zurich, Switzerland https://icaita2025.org/ Scope &amp; Topics 14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) is an international forum for sharing knowledge and results in theory, methodology and new advances and research results in the fields of Emerging Information Technologies and Applications. The conference will bring together researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. The Conference welcomes significant contributions in all major fields of the Computer Science and Information Technology in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following Algorithms and Bioinformatics Compiler Design Computer Architecture and Real time Systems Computer Graphics Database and Data Mining Dependable, Reliable and Autonomic Computing Distributed, Parallel Systems &amp; Algorithms DSP/Image Processing/Pattern Recognition/Multimedia Embedded System and Software Game Theory Geographical Information Systems/Global Navigation Satellite Systems (GIS/GNSS) Grid and Scalable Computing Integrating Technology in Education Intelligent Information &amp; Database Systems IT Policy and Business Management Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Natural Language Processing Networking and Communications Operating Systems Performance Evaluation Programming Languages Security and Privacy Social Computing Soft Computing Software Design Patterns &amp; Engineering Software Testing and Quality Symbolic Computation Telemedicine Theoretical Computer Science Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by April 26, 2025 (Final Call). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science &amp; Information Technology (CS &amp; IT) series (Confirmed). Selected papers from ICAITA 2025, after further revisions, will be published in the special issues of the following journals. International Journal of Computer Science &amp; Information Technology (IJCSIT) - WJCI,INSPEC Indexed International Journal of Computer Science and Engineering Survey (IJCSES) Computer Science &amp; Engineering: An International Journal (CSEIJ) Advanced Computing: An International Journal (ACIJ)
14th International Conference on Advanced Information Technologies and Applications (ICAITA 2025) from acijjournal
]]> 15 0 https://cdn.slidesharecdn.com/ss_thumbnails/icaita2025cfp-250422073448-8cc83968-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 2nd International Conference on Information Technology Convergence Services & AI (ITCAI 2025) /slideshow/2nd-international-conference-on-information-technology-convergence-services-ai-itcai-2025/277966595 itcai2025cfp-250415113052-0333ee8a
2nd International Conference on Information Technology Convergence Services & AI (ITCAI 2025) will provide an excellent international forum for sharing knowledge and new research results in all areas of Information Technology Convergence Services & AI. The Conference focuses on all technical and practical aspects of ITC & AI. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Information Technology Convergence and services, AI, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Information Technology Convergence, services and AI. ]]>
2nd International Conference on Information Technology Convergence Services & AI (ITCAI 2025) will provide an excellent international forum for sharing knowledge and new research results in all areas of Information Technology Convergence Services & AI. The Conference focuses on all technical and practical aspects of ITC & AI. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Information Technology Convergence and services, AI, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Information Technology Convergence, services and AI. ]]> Tue, 15 Apr 2025 11:30:52 GMT /slideshow/2nd-international-conference-on-information-technology-convergence-services-ai-itcai-2025/277966595 acijjournal@slideshare.net(acijjournal) 2nd International Conference on Information Technology Convergence Services & AI (ITCAI 2025) acijjournal 2nd International Conference on Information Technology Convergence Services & AI (ITCAI 2025) will provide an excellent international forum for sharing knowledge and new research results in all areas of Information Technology Convergence Services & AI. The Conference focuses on all technical and practical aspects of ITC & AI. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Information Technology Convergence and services, AI, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Information Technology Convergence, services and AI. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/itcai2025cfp-250415113052-0333ee8a-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2nd International Conference on Information Technology Convergence Services &amp; AI (ITCAI 2025) will provide an excellent international forum for sharing knowledge and new research results in all areas of Information Technology Convergence Services &amp; AI. The Conference focuses on all technical and practical aspects of ITC &amp; AI. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Information Technology Convergence and services, AI, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Information Technology Convergence, services and AI.
2nd International Conference on Information Technology Convergence Services & AI (ITCAI 2025) from acijjournal
]]> 10 0 https://cdn.slidesharecdn.com/ss_thumbnails/itcai2025cfp-250415113052-0333ee8a-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Advanced Computing: An International Journal ( ACIJ ) /slideshow/advanced-computing-an-international-journal-acij-1f69/277964522 acij202447-250415103411-4a6962e1
Advanced Computing: An International Journal (ACIJ) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing. ]]>
Advanced Computing: An International Journal (ACIJ) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing. ]]> Tue, 15 Apr 2025 10:34:11 GMT /slideshow/advanced-computing-an-international-journal-acij-1f69/277964522 acijjournal@slideshare.net(acijjournal) Advanced Computing: An International Journal ( ACIJ ) acijjournal Advanced Computing: An International Journal (ACIJ) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/acij202447-250415103411-4a6962e1-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Advanced Computing: An International Journal (ACIJ) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing.
Advanced Computing: An International Journal ( ACIJ ) from acijjournal
]]> 5 0 https://cdn.slidesharecdn.com/ss_thumbnails/acij202447-250415103411-4a6962e1-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) /slideshow/3rd-international-conference-on-computer-science-engineering-and-artificial-intelligence-cseai-2025/275648490 cseai2025cfp1-250214094207-5220dc77
3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) May 30 ~ 31, 2025, Virtual Conference https://cseai2025.org/index Scope & Topics 3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Computer Engineering and AI. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and AI in theoretical, practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of interest include, but are not limited to, the following Artificial Intelligence Big Data Computer Architecture and Real Time Systems Database and Data Mining Deep Learning Dependable, Reliable and Autonomic Computing Distributed and Parallel Systems & Algorithms DSP / Image Processing/Pattern Recognition/Multimedia Embedded System and Software Internet of Things (IoT) Machine Learning & Applications Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Networking and Communications NLP Parallel and Distributed Systems Security / Network security / Data Security / Cyber Security / Cryptography / Blockchain Signal Processing / Image Processing/ Pattern Recognition / Multimedia Bioinformatics Soft Computing (AI, Neural Networks, Fuzzy Systems, etc.) Software Engineering Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by February 09, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed). Selected papers from CSEAI 2025, after further revisions, will be published in the special issues of the following journals Advanced Computing: An International Journal (ACIJ) International Journal of Distributed and Parallel systems (IJDPS) International Journal of Advanced Information Technology (IJAIT) International Journal of Information Technology Convergence and Services (IJITCS) Information Technology in Industry (ITII) Important Dates Second Batch : (Submissions after February 02, 2025) Submission Deadline : February 09, 2025 Authors Notification : March 22, 2025 Registration & Camer]]>
3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) May 30 ~ 31, 2025, Virtual Conference https://cseai2025.org/index Scope & Topics 3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Computer Engineering and AI. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and AI in theoretical, practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of interest include, but are not limited to, the following Artificial Intelligence Big Data Computer Architecture and Real Time Systems Database and Data Mining Deep Learning Dependable, Reliable and Autonomic Computing Distributed and Parallel Systems & Algorithms DSP / Image Processing/Pattern Recognition/Multimedia Embedded System and Software Internet of Things (IoT) Machine Learning & Applications Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Networking and Communications NLP Parallel and Distributed Systems Security / Network security / Data Security / Cyber Security / Cryptography / Blockchain Signal Processing / Image Processing/ Pattern Recognition / Multimedia Bioinformatics Soft Computing (AI, Neural Networks, Fuzzy Systems, etc.) Software Engineering Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by February 09, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed). Selected papers from CSEAI 2025, after further revisions, will be published in the special issues of the following journals Advanced Computing: An International Journal (ACIJ) International Journal of Distributed and Parallel systems (IJDPS) International Journal of Advanced Information Technology (IJAIT) International Journal of Information Technology Convergence and Services (IJITCS) Information Technology in Industry (ITII) Important Dates Second Batch : (Submissions after February 02, 2025) Submission Deadline : February 09, 2025 Authors Notification : March 22, 2025 Registration & Camer]]> Fri, 14 Feb 2025 09:42:07 GMT /slideshow/3rd-international-conference-on-computer-science-engineering-and-artificial-intelligence-cseai-2025/275648490 acijjournal@slideshare.net(acijjournal) 3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) acijjournal 3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) May 30 ~ 31, 2025, Virtual Conference https://cseai2025.org/index Scope & Topics 3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Computer Engineering and AI. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and AI in theoretical, practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of interest include, but are not limited to, the following Artificial Intelligence Big Data Computer Architecture and Real Time Systems Database and Data Mining Deep Learning Dependable, Reliable and Autonomic Computing Distributed and Parallel Systems & Algorithms DSP / Image Processing/Pattern Recognition/Multimedia Embedded System and Software Internet of Things (IoT) Machine Learning & Applications Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Networking and Communications NLP Parallel and Distributed Systems Security / Network security / Data Security / Cyber Security / Cryptography / Blockchain Signal Processing / Image Processing/ Pattern Recognition / Multimedia Bioinformatics Soft Computing (AI, Neural Networks, Fuzzy Systems, etc.) Software Engineering Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by February 09, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed). Selected papers from CSEAI 2025, after further revisions, will be published in the special issues of the following journals Advanced Computing: An International Journal (ACIJ) International Journal of Distributed and Parallel systems (IJDPS) International Journal of Advanced Information Technology (IJAIT) International Journal of Information Technology Convergence and Services (IJITCS) Information Technology in Industry (ITII) Important Dates Second Batch : (Submissions after February 02, 2025) Submission Deadline : February 09, 2025 Authors Notification : March 22, 2025 Registration & Camer <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cseai2025cfp1-250214094207-5220dc77-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) May 30 ~ 31, 2025, Virtual Conference https://cseai2025.org/index Scope &amp; Topics 3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Computer Engineering and AI. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and AI in theoretical, practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of interest include, but are not limited to, the following Artificial Intelligence Big Data Computer Architecture and Real Time Systems Database and Data Mining Deep Learning Dependable, Reliable and Autonomic Computing Distributed and Parallel Systems &amp; Algorithms DSP / Image Processing/Pattern Recognition/Multimedia Embedded System and Software Internet of Things (IoT) Machine Learning &amp; Applications Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Networking and Communications NLP Parallel and Distributed Systems Security / Network security / Data Security / Cyber Security / Cryptography / Blockchain Signal Processing / Image Processing/ Pattern Recognition / Multimedia Bioinformatics Soft Computing (AI, Neural Networks, Fuzzy Systems, etc.) Software Engineering Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by February 09, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics &amp; Informatics (IJCI) (Confirmed). Selected papers from CSEAI 2025, after further revisions, will be published in the special issues of the following journals Advanced Computing: An International Journal (ACIJ) International Journal of Distributed and Parallel systems (IJDPS) International Journal of Advanced Information Technology (IJAIT) International Journal of Information Technology Convergence and Services (IJITCS) Information Technology in Industry (ITII) Important Dates Second Batch : (Submissions after February 02, 2025) Submission Deadline : February 09, 2025 Authors Notification : March 22, 2025 Registration &amp; Camer
3rd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2025) from acijjournal
]]> 11 0 https://cdn.slidesharecdn.com/ss_thumbnails/cseai2025cfp1-250214094207-5220dc77-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 6th International Conference on Big Data and Machine Learning (BDML 2025) /slideshow/6th-international-conference-on-big-data-and-machine-learning-bdml-2025/275617743 bdmlcfp-250213113447-9434528c
6th International Conference on Big Data and Machine Learning (BDML 2025) May 24 ~ 25, 2025, Vancouver, Canada https://ccsea2025.org/bdml/index Scope 6th International Conference on Big Data and Machine Learning (BDML 2025) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data and Machine Learning. Topics of interest Big Data Big Data Techniques, models and algorithms Big Data Infrastructure and platform Big Data Search and Mining Big Data Security, Privacy and Trust Big Data Applications, Bioinformatics, Multimedia etc Big Data Tools and systems Big Data Mining Big Data Management Cloud and grid computing for Big Data Machine Learning and AI for Big Data Big Data Analytics and Social Media 5G and Networks for Big Data Machine Learning Machine Learning Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Deep Learning Paper Submission Authors are invited to submit papers through the conference Submission System by February 15, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from BDML 2025, after further revisions, will be published in the special issue of the following journals International Journal of Data Mining & Knowledge Management Process (IJDKP) - WJCI Indexed International Journal of Database Management Systems (IJDMS) - WJCI Indexed Machine Learning and Applications: An International Journal (MLAIJ) Advances in Vision Computing: An International Journal (AVC) International Journal of Grid Computing & Applications (IJGCA) Information Technology in Industry (ITII) Important Dates Submission Deadline : February 15, 2025 Authors Notification : March 22, 2025 Registration & Camera-Ready Paper Due : March 29, 2025 Contact Us Here's where you can reach us: bdml@ccsea2025.org or bdmlconf@yahoo.com ]]>
6th International Conference on Big Data and Machine Learning (BDML 2025) May 24 ~ 25, 2025, Vancouver, Canada https://ccsea2025.org/bdml/index Scope 6th International Conference on Big Data and Machine Learning (BDML 2025) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data and Machine Learning. Topics of interest Big Data Big Data Techniques, models and algorithms Big Data Infrastructure and platform Big Data Search and Mining Big Data Security, Privacy and Trust Big Data Applications, Bioinformatics, Multimedia etc Big Data Tools and systems Big Data Mining Big Data Management Cloud and grid computing for Big Data Machine Learning and AI for Big Data Big Data Analytics and Social Media 5G and Networks for Big Data Machine Learning Machine Learning Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Deep Learning Paper Submission Authors are invited to submit papers through the conference Submission System by February 15, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from BDML 2025, after further revisions, will be published in the special issue of the following journals International Journal of Data Mining & Knowledge Management Process (IJDKP) - WJCI Indexed International Journal of Database Management Systems (IJDMS) - WJCI Indexed Machine Learning and Applications: An International Journal (MLAIJ) Advances in Vision Computing: An International Journal (AVC) International Journal of Grid Computing & Applications (IJGCA) Information Technology in Industry (ITII) Important Dates Submission Deadline : February 15, 2025 Authors Notification : March 22, 2025 Registration & Camera-Ready Paper Due : March 29, 2025 Contact Us Here's where you can reach us: bdml@ccsea2025.org or bdmlconf@yahoo.com ]]> Thu, 13 Feb 2025 11:34:46 GMT /slideshow/6th-international-conference-on-big-data-and-machine-learning-bdml-2025/275617743 acijjournal@slideshare.net(acijjournal) 6th International Conference on Big Data and Machine Learning (BDML 2025) acijjournal 6th International Conference on Big Data and Machine Learning (BDML 2025) May 24 ~ 25, 2025, Vancouver, Canada https://ccsea2025.org/bdml/index Scope 6th International Conference on Big Data and Machine Learning (BDML 2025) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data and Machine Learning. Topics of interest Big Data Big Data Techniques, models and algorithms Big Data Infrastructure and platform Big Data Search and Mining Big Data Security, Privacy and Trust Big Data Applications, Bioinformatics, Multimedia etc Big Data Tools and systems Big Data Mining Big Data Management Cloud and grid computing for Big Data Machine Learning and AI for Big Data Big Data Analytics and Social Media 5G and Networks for Big Data Machine Learning Machine Learning Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Deep Learning Paper Submission Authors are invited to submit papers through the conference Submission System by February 15, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from BDML 2025, after further revisions, will be published in the special issue of the following journals International Journal of Data Mining & Knowledge Management Process (IJDKP) - WJCI Indexed International Journal of Database Management Systems (IJDMS) - WJCI Indexed Machine Learning and Applications: An International Journal (MLAIJ) Advances in Vision Computing: An International Journal (AVC) International Journal of Grid Computing & Applications (IJGCA) Information Technology in Industry (ITII) Important Dates Submission Deadline : February 15, 2025 Authors Notification : March 22, 2025 Registration & Camera-Ready Paper Due : March 29, 2025 Contact Us Here's where you can reach us: bdml@ccsea2025.org or bdmlconf@yahoo.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bdmlcfp-250213113447-9434528c-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 6th International Conference on Big Data and Machine Learning (BDML 2025) May 24 ~ 25, 2025, Vancouver, Canada https://ccsea2025.org/bdml/index Scope 6th International Conference on Big Data and Machine Learning (BDML 2025) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data and Machine Learning. Topics of interest Big Data Big Data Techniques, models and algorithms Big Data Infrastructure and platform Big Data Search and Mining Big Data Security, Privacy and Trust Big Data Applications, Bioinformatics, Multimedia etc Big Data Tools and systems Big Data Mining Big Data Management Cloud and grid computing for Big Data Machine Learning and AI for Big Data Big Data Analytics and Social Media 5G and Networks for Big Data Machine Learning Machine Learning Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Deep Learning Paper Submission Authors are invited to submit papers through the conference Submission System by February 15, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science &amp; Information Technology (CS &amp; IT) series (Confirmed). Selected papers from BDML 2025, after further revisions, will be published in the special issue of the following journals International Journal of Data Mining &amp; Knowledge Management Process (IJDKP) - WJCI Indexed International Journal of Database Management Systems (IJDMS) - WJCI Indexed Machine Learning and Applications: An International Journal (MLAIJ) Advances in Vision Computing: An International Journal (AVC) International Journal of Grid Computing &amp; Applications (IJGCA) Information Technology in Industry (ITII) Important Dates Submission Deadline : February 15, 2025 Authors Notification : March 22, 2025 Registration &amp; Camera-Ready Paper Due : March 29, 2025 Contact Us Here&#39;s where you can reach us: bdml@ccsea2025.org or bdmlconf@yahoo.com
6th International Conference on Big Data and Machine Learning (BDML 2025) from acijjournal
]]> 18 0 https://cdn.slidesharecdn.com/ss_thumbnails/bdmlcfp-250213113447-9434528c-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE /slideshow/methods-and-algorithms-for-assessing-computer-network-performance-d921/275240000 15624acij01-250129173703-2946e4ef
METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE Aziz Ishmukhamedov Department of Software of Information Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan ABSTRACT The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems. KEYWORDS Reliability assessment, operability, system reliability, computational schemes, algorithms, evaluation model. 1. INTRODUCTION Quite often, in the works [1,3,4,5,6], to determine the reliability of computer systems, as properties to provide communication, while maintaining the values of established quality indicators in time under specified operating conditions, not only and not so much the characteristics of the condition of technical means, their processing for failure, but also the number of user requirements for message reliability indicators, the probability of timely delivery began to be included messages, i.e. due to a wide range of user requirements for reliability indicators. taking into account all the stated requirements at the design stage of computer systems can be implemented by modeling the functioning of the system taking into account failures restoration and evaluation of the technical condition of the system identified with network connectivity (structural reliability). The connectivity property does not provide the necessary degree of detail about all possible network states at the current time, allows you to operate only in two categories (whether the connectivity requirements are met or not), without determining how badly connectivity is broken in case of non-fulfillment of the specified requirements. This is necessary for a more detailed assessment of the state of the computer network. The step-by-step significance of the task of determining the technical condition of the network is increasing. Almost until recently, the definition of bottlenecks of the network, in which there is a high probability of failure of elements that will worsen its functioning or lead to a complete failure of the system, was based on the well-known provisions of the theory of reliability, including the concept of a complete failure of the system in case of failure. At the same time, even in the presence of equipment failure or disconnection of part of the system elements, it is possible to transmit and receive information. Known methods of assessing the reliability of computer systems are not taken into account. The step-by-step introduction [2] of conceptual definitions of the technical condition of objects and systems, as well as corresponding quantitative ]]>
METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE Aziz Ishmukhamedov Department of Software of Information Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan ABSTRACT The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems. KEYWORDS Reliability assessment, operability, system reliability, computational schemes, algorithms, evaluation model. 1. INTRODUCTION Quite often, in the works [1,3,4,5,6], to determine the reliability of computer systems, as properties to provide communication, while maintaining the values of established quality indicators in time under specified operating conditions, not only and not so much the characteristics of the condition of technical means, their processing for failure, but also the number of user requirements for message reliability indicators, the probability of timely delivery began to be included messages, i.e. due to a wide range of user requirements for reliability indicators. taking into account all the stated requirements at the design stage of computer systems can be implemented by modeling the functioning of the system taking into account failures restoration and evaluation of the technical condition of the system identified with network connectivity (structural reliability). The connectivity property does not provide the necessary degree of detail about all possible network states at the current time, allows you to operate only in two categories (whether the connectivity requirements are met or not), without determining how badly connectivity is broken in case of non-fulfillment of the specified requirements. This is necessary for a more detailed assessment of the state of the computer network. The step-by-step significance of the task of determining the technical condition of the network is increasing. Almost until recently, the definition of bottlenecks of the network, in which there is a high probability of failure of elements that will worsen its functioning or lead to a complete failure of the system, was based on the well-known provisions of the theory of reliability, including the concept of a complete failure of the system in case of failure. At the same time, even in the presence of equipment failure or disconnection of part of the system elements, it is possible to transmit and receive information. Known methods of assessing the reliability of computer systems are not taken into account. The step-by-step introduction [2] of conceptual definitions of the technical condition of objects and systems, as well as corresponding quantitative ]]> Wed, 29 Jan 2025 17:37:03 GMT /slideshow/methods-and-algorithms-for-assessing-computer-network-performance-d921/275240000 acijjournal@slideshare.net(acijjournal) METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE acijjournal METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE Aziz Ishmukhamedov Department of Software of Information Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan ABSTRACT The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems. KEYWORDS Reliability assessment, operability, system reliability, computational schemes, algorithms, evaluation model. 1. INTRODUCTION Quite often, in the works [1,3,4,5,6], to determine the reliability of computer systems, as properties to provide communication, while maintaining the values of established quality indicators in time under specified operating conditions, not only and not so much the characteristics of the condition of technical means, their processing for failure, but also the number of user requirements for message reliability indicators, the probability of timely delivery began to be included messages, i.e. due to a wide range of user requirements for reliability indicators. taking into account all the stated requirements at the design stage of computer systems can be implemented by modeling the functioning of the system taking into account failures restoration and evaluation of the technical condition of the system identified with network connectivity (structural reliability). The connectivity property does not provide the necessary degree of detail about all possible network states at the current time, allows you to operate only in two categories (whether the connectivity requirements are met or not), without determining how badly connectivity is broken in case of non-fulfillment of the specified requirements. This is necessary for a more detailed assessment of the state of the computer network. The step-by-step significance of the task of determining the technical condition of the network is increasing. Almost until recently, the definition of bottlenecks of the network, in which there is a high probability of failure of elements that will worsen its functioning or lead to a complete failure of the system, was based on the well-known provisions of the theory of reliability, including the concept of a complete failure of the system in case of failure. At the same time, even in the presence of equipment failure or disconnection of part of the system elements, it is possible to transmit and receive information. Known methods of assessing the reliability of computer systems are not taken into account. The step-by-step introduction [2] of conceptual definitions of the technical condition of objects and systems, as well as corresponding quantitative <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/15624acij01-250129173703-2946e4ef-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE Aziz Ishmukhamedov Department of Software of Information Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan ABSTRACT The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems. KEYWORDS Reliability assessment, operability, system reliability, computational schemes, algorithms, evaluation model. 1. INTRODUCTION Quite often, in the works [1,3,4,5,6], to determine the reliability of computer systems, as properties to provide communication, while maintaining the values of established quality indicators in time under specified operating conditions, not only and not so much the characteristics of the condition of technical means, their processing for failure, but also the number of user requirements for message reliability indicators, the probability of timely delivery began to be included messages, i.e. due to a wide range of user requirements for reliability indicators. taking into account all the stated requirements at the design stage of computer systems can be implemented by modeling the functioning of the system taking into account failures restoration and evaluation of the technical condition of the system identified with network connectivity (structural reliability). The connectivity property does not provide the necessary degree of detail about all possible network states at the current time, allows you to operate only in two categories (whether the connectivity requirements are met or not), without determining how badly connectivity is broken in case of non-fulfillment of the specified requirements. This is necessary for a more detailed assessment of the state of the computer network. The step-by-step significance of the task of determining the technical condition of the network is increasing. Almost until recently, the definition of bottlenecks of the network, in which there is a high probability of failure of elements that will worsen its functioning or lead to a complete failure of the system, was based on the well-known provisions of the theory of reliability, including the concept of a complete failure of the system in case of failure. At the same time, even in the presence of equipment failure or disconnection of part of the system elements, it is possible to transmit and receive information. Known methods of assessing the reliability of computer systems are not taken into account. The step-by-step introduction [2] of conceptual definitions of the technical condition of objects and systems, as well as corresponding quantitative
METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE from acijjournal
]]> 10 0 https://cdn.slidesharecdn.com/ss_thumbnails/15624acij01-250129173703-2946e4ef-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 4th International Conference on Computing and Information Technology Trends (CCITT 2025) /slideshow/4th-international-conference-on-computing-and-information-technology-trends-ccitt-2025/274140525 ccitt2025cfp5-241217075306-936021ce
4th International Conference on Computing and Information Technology Trends (CCITT 2025) January 23 ~ 24, 2025, Virtual Conference https://ccitt2025.org/index Scope & Topics 4th International Conference on Computing and Information Technology Trends (CCITT 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing and Information Technology Trends. The Conference looks for significant contributions to all major fields of the Computer Science, Compute Engineering, Information Technology and Trends in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of interest include, but are not limited to, the following Business Intelligence Computer Architecture and Real Time Systems Computer Education Data Science Database and Data Mining Deep Learning Dependable, Reliable and Autonomic Computing Devops Models, Practices, Challenges Distributed and Parallel Systems DSP/Image Processing/Pattern Recognition/Multimedia E-Learning, E-Business, Enterprise Information Systems and E-Government Embedded System and Software Fuzzy Systems Game and Software Engineering Grid and Scalable Computing Information Technology Management Intelligent Information and Database Systems Internet of Things Knowledge Management Machine Learning & Applications Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Natural Language Processing & Text Mining Networking and Communications Ontology and Semantic Web Performance Evaluation Security and Information Assurance Scaled Agile Framework (SAFe) in the real World Smart cities Software Automation, Software as a Service (Saas) Software Engineering Swarm Intelligence Theoretical Computer Science Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by December 21, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed). Selected papers from CCITT 2025, after further revisions, will be published in the special issues of the following journals International Journal of Information Technology Convergence and Services (IJITCS) International Journal on Computational Science & Applications (IJCSA) Advanced Computing: An International Journal (ACIJ) International Journal of Computer Science, Engineering and Applications (IJCSEA) International Journal of Distributed and Parallel systems]]>
4th International Conference on Computing and Information Technology Trends (CCITT 2025) January 23 ~ 24, 2025, Virtual Conference https://ccitt2025.org/index Scope & Topics 4th International Conference on Computing and Information Technology Trends (CCITT 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing and Information Technology Trends. The Conference looks for significant contributions to all major fields of the Computer Science, Compute Engineering, Information Technology and Trends in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of interest include, but are not limited to, the following Business Intelligence Computer Architecture and Real Time Systems Computer Education Data Science Database and Data Mining Deep Learning Dependable, Reliable and Autonomic Computing Devops Models, Practices, Challenges Distributed and Parallel Systems DSP/Image Processing/Pattern Recognition/Multimedia E-Learning, E-Business, Enterprise Information Systems and E-Government Embedded System and Software Fuzzy Systems Game and Software Engineering Grid and Scalable Computing Information Technology Management Intelligent Information and Database Systems Internet of Things Knowledge Management Machine Learning & Applications Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Natural Language Processing & Text Mining Networking and Communications Ontology and Semantic Web Performance Evaluation Security and Information Assurance Scaled Agile Framework (SAFe) in the real World Smart cities Software Automation, Software as a Service (Saas) Software Engineering Swarm Intelligence Theoretical Computer Science Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by December 21, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed). Selected papers from CCITT 2025, after further revisions, will be published in the special issues of the following journals International Journal of Information Technology Convergence and Services (IJITCS) International Journal on Computational Science & Applications (IJCSA) Advanced Computing: An International Journal (ACIJ) International Journal of Computer Science, Engineering and Applications (IJCSEA) International Journal of Distributed and Parallel systems]]> Tue, 17 Dec 2024 07:53:06 GMT /slideshow/4th-international-conference-on-computing-and-information-technology-trends-ccitt-2025/274140525 acijjournal@slideshare.net(acijjournal) 4th International Conference on Computing and Information Technology Trends (CCITT 2025) acijjournal 4th International Conference on Computing and Information Technology Trends (CCITT 2025) January 23 ~ 24, 2025, Virtual Conference https://ccitt2025.org/index Scope & Topics 4th International Conference on Computing and Information Technology Trends (CCITT 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing and Information Technology Trends. The Conference looks for significant contributions to all major fields of the Computer Science, Compute Engineering, Information Technology and Trends in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of interest include, but are not limited to, the following Business Intelligence Computer Architecture and Real Time Systems Computer Education Data Science Database and Data Mining Deep Learning Dependable, Reliable and Autonomic Computing Devops Models, Practices, Challenges Distributed and Parallel Systems DSP/Image Processing/Pattern Recognition/Multimedia E-Learning, E-Business, Enterprise Information Systems and E-Government Embedded System and Software Fuzzy Systems Game and Software Engineering Grid and Scalable Computing Information Technology Management Intelligent Information and Database Systems Internet of Things Knowledge Management Machine Learning & Applications Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Natural Language Processing & Text Mining Networking and Communications Ontology and Semantic Web Performance Evaluation Security and Information Assurance Scaled Agile Framework (SAFe) in the real World Smart cities Software Automation, Software as a Service (Saas) Software Engineering Swarm Intelligence Theoretical Computer Science Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by December 21, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed). Selected papers from CCITT 2025, after further revisions, will be published in the special issues of the following journals International Journal of Information Technology Convergence and Services (IJITCS) International Journal on Computational Science & Applications (IJCSA) Advanced Computing: An International Journal (ACIJ) International Journal of Computer Science, Engineering and Applications (IJCSEA) International Journal of Distributed and Parallel systems <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ccitt2025cfp5-241217075306-936021ce-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 4th International Conference on Computing and Information Technology Trends (CCITT 2025) January 23 ~ 24, 2025, Virtual Conference https://ccitt2025.org/index Scope &amp; Topics 4th International Conference on Computing and Information Technology Trends (CCITT 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing and Information Technology Trends. The Conference looks for significant contributions to all major fields of the Computer Science, Compute Engineering, Information Technology and Trends in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Topics of interest include, but are not limited to, the following Business Intelligence Computer Architecture and Real Time Systems Computer Education Data Science Database and Data Mining Deep Learning Dependable, Reliable and Autonomic Computing Devops Models, Practices, Challenges Distributed and Parallel Systems DSP/Image Processing/Pattern Recognition/Multimedia E-Learning, E-Business, Enterprise Information Systems and E-Government Embedded System and Software Fuzzy Systems Game and Software Engineering Grid and Scalable Computing Information Technology Management Intelligent Information and Database Systems Internet of Things Knowledge Management Machine Learning &amp; Applications Mobile and Ubiquitous Computing Modeling and Simulation Multimedia Systems and Services Natural Language Processing &amp; Text Mining Networking and Communications Ontology and Semantic Web Performance Evaluation Security and Information Assurance Scaled Agile Framework (SAFe) in the real World Smart cities Software Automation, Software as a Service (Saas) Software Engineering Swarm Intelligence Theoretical Computer Science Web and Internet Computing Paper Submission Authors are invited to submit papers through the conference Submission System by December 21, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics &amp; Informatics (IJCI) (Confirmed). Selected papers from CCITT 2025, after further revisions, will be published in the special issues of the following journals International Journal of Information Technology Convergence and Services (IJITCS) International Journal on Computational Science &amp; Applications (IJCSA) Advanced Computing: An International Journal (ACIJ) International Journal of Computer Science, Engineering and Applications (IJCSEA) International Journal of Distributed and Parallel systems
4th International Conference on Computing and Information Technology Trends (CCITT 2025) from acijjournal
]]> 20 0 https://cdn.slidesharecdn.com/ss_thumbnails/ccitt2025cfp5-241217075306-936021ce-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE /slideshow/methods-and-algorithms-for-assessing-computer-network-performance/273835041 15624acij01-241204145129-41f52382
The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems. KEYWORDS Reliability assessment, operability, system reliability, computational schemes, algorithms, evaluation model. ]]>
The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems. KEYWORDS Reliability assessment, operability, system reliability, computational schemes, algorithms, evaluation model. ]]> Wed, 04 Dec 2024 14:51:29 GMT /slideshow/methods-and-algorithms-for-assessing-computer-network-performance/273835041 acijjournal@slideshare.net(acijjournal) METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE acijjournal The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems. KEYWORDS Reliability assessment, operability, system reliability, computational schemes, algorithms, evaluation model. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/15624acij01-241204145129-41f52382-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The article proposes an approach that makes it possible to obtain an assessment of the reliability of a data transmission system, containing a description of computational circuits, algorithms, and models for assessing various aspects of reliability: the method for calculating operability is presented for the first time, although it has already become widespread in the design of special-purpose systems. KEYWORDS Reliability assessment, operability, system reliability, computational schemes, algorithms, evaluation model.
METHODS AND ALGORITHMS FOR ASSESSING COMPUTER NETWORK PERFORMANCE from acijjournal
]]> 9 0 https://cdn.slidesharecdn.com/ss_thumbnails/15624acij01-241204145129-41f52382-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 MODELING OF THE AUTOMATED SYSTEM OF TRAINING SPECIALISTS FOR THE JUDICIAL SYSTEM /slideshow/modeling-of-the-automated-system-of-training-specialists-for-the-judicial-system/273501390 14523acij01-241121151621-2b7dc317
ABSTRACT The research involves developing mathematical and information-functional models for the automated system that trains specialists for the judicial system. These models aim to determine the characteristics of how information and educational resources interact, while considering the student's educational level and specialization. The study also includes justifying a comprehensive target training program for specialists, considering the information interaction among elements within the automated training system. Furthermore, the research investigates the effective interaction of the learning process and methodical information management algorithms within the system. KEYWORDS Information, information resources, information systems, distance education, judicial system training, automated learning systems (ALS), information and communication technologies (ICT), Uzbekistan's education system, educational standards, information-functional model]]>
ABSTRACT The research involves developing mathematical and information-functional models for the automated system that trains specialists for the judicial system. These models aim to determine the characteristics of how information and educational resources interact, while considering the student's educational level and specialization. The study also includes justifying a comprehensive target training program for specialists, considering the information interaction among elements within the automated training system. Furthermore, the research investigates the effective interaction of the learning process and methodical information management algorithms within the system. KEYWORDS Information, information resources, information systems, distance education, judicial system training, automated learning systems (ALS), information and communication technologies (ICT), Uzbekistan's education system, educational standards, information-functional model]]> Thu, 21 Nov 2024 15:16:20 GMT /slideshow/modeling-of-the-automated-system-of-training-specialists-for-the-judicial-system/273501390 acijjournal@slideshare.net(acijjournal) MODELING OF THE AUTOMATED SYSTEM OF TRAINING SPECIALISTS FOR THE JUDICIAL SYSTEM acijjournal ABSTRACT The research involves developing mathematical and information-functional models for the automated system that trains specialists for the judicial system. These models aim to determine the characteristics of how information and educational resources interact, while considering the student's educational level and specialization. The study also includes justifying a comprehensive target training program for specialists, considering the information interaction among elements within the automated training system. Furthermore, the research investigates the effective interaction of the learning process and methodical information management algorithms within the system. KEYWORDS Information, information resources, information systems, distance education, judicial system training, automated learning systems (ALS), information and communication technologies (ICT), Uzbekistan's education system, educational standards, information-functional model <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/14523acij01-241121151621-2b7dc317-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ABSTRACT The research involves developing mathematical and information-functional models for the automated system that trains specialists for the judicial system. These models aim to determine the characteristics of how information and educational resources interact, while considering the student&#39;s educational level and specialization. The study also includes justifying a comprehensive target training program for specialists, considering the information interaction among elements within the automated training system. Furthermore, the research investigates the effective interaction of the learning process and methodical information management algorithms within the system. KEYWORDS Information, information resources, information systems, distance education, judicial system training, automated learning systems (ALS), information and communication technologies (ICT), Uzbekistan&#39;s education system, educational standards, information-functional model
MODELING OF THE AUTOMATED SYSTEM OF TRAINING SPECIALISTS FOR THE JUDICIAL SYSTEM from acijjournal
]]> 8 0 https://cdn.slidesharecdn.com/ss_thumbnails/14523acij01-241121151621-2b7dc317-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 5th International Conference on Data Science and Machine Learning (DSML 2024) /slideshow/5th-international-conference-on-data-science-and-machine-learning-dsml-2024/272692082 dsml2024cfp-241024112018-3f4db250
5th International Conference on Data Science and Machine Learning (DSML 2024) December 21 ~ 22, 2024, Sydney, Australia https://csen2024.org/dsml/index Scope & Topics 5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science and Machine Learning. Topics of interest include, but are not limited to, the following Data Mining Parallel and Distributed Data Mining Algorithms Data Streams Mining, Graph Mining, Spatial Data Mining Text video, Multimedia Data Mining, Web Mining Pre-Processing Techniques, Visualization Security and Information Hiding in Data Mining Data mining Applications Databases Bioinformatics Biometrics Image Analysis Financial Modeling Forecasting, Classification, Clustering Cryptography and Information security Social Networks, Educational Data Mining Big Data Big Data Algorithms Big Data Fundamentals Infrastructures for Big Data Big Data Management and Frameworks Big Data Search Big Data security Big Data Applications Data Mining & Machine learning Tasks Machine Learning Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Deep Learning Knowledge Processing Data and Knowledge Representation Knowledge Discovery Framework and Process, Including Pre- and Post-Processing Integration of Data Warehousing OLAP and Data Mining Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge Integrating Constraints and Knowledge in the KDD Process Exploring Data Analysis Statistical Techniques for Generation a Robust Consistent Data Model Interactive Data Exploration / Visualization and Discovery Languages and Interfaces for Data Mining Mining Trends, Opportunities and Risks Paper Submission Authors are invited to submit papers through the conference Submission System by October 26, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from DSML 2024, after further revisions, will be published in the special issue of the following journals. International Journal of Database Management Systems (IJDMS) - WJCI Indexed International Journal of Data Mining & Knowledge Management Process (IJDKP) - WJCI Indexed Machine Learning and Applications: An International Journal (MLAIJ) International Journal of Web & Sema]]>
5th International Conference on Data Science and Machine Learning (DSML 2024) December 21 ~ 22, 2024, Sydney, Australia https://csen2024.org/dsml/index Scope & Topics 5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science and Machine Learning. Topics of interest include, but are not limited to, the following Data Mining Parallel and Distributed Data Mining Algorithms Data Streams Mining, Graph Mining, Spatial Data Mining Text video, Multimedia Data Mining, Web Mining Pre-Processing Techniques, Visualization Security and Information Hiding in Data Mining Data mining Applications Databases Bioinformatics Biometrics Image Analysis Financial Modeling Forecasting, Classification, Clustering Cryptography and Information security Social Networks, Educational Data Mining Big Data Big Data Algorithms Big Data Fundamentals Infrastructures for Big Data Big Data Management and Frameworks Big Data Search Big Data security Big Data Applications Data Mining & Machine learning Tasks Machine Learning Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Deep Learning Knowledge Processing Data and Knowledge Representation Knowledge Discovery Framework and Process, Including Pre- and Post-Processing Integration of Data Warehousing OLAP and Data Mining Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge Integrating Constraints and Knowledge in the KDD Process Exploring Data Analysis Statistical Techniques for Generation a Robust Consistent Data Model Interactive Data Exploration / Visualization and Discovery Languages and Interfaces for Data Mining Mining Trends, Opportunities and Risks Paper Submission Authors are invited to submit papers through the conference Submission System by October 26, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from DSML 2024, after further revisions, will be published in the special issue of the following journals. International Journal of Database Management Systems (IJDMS) - WJCI Indexed International Journal of Data Mining & Knowledge Management Process (IJDKP) - WJCI Indexed Machine Learning and Applications: An International Journal (MLAIJ) International Journal of Web & Sema]]> Thu, 24 Oct 2024 11:20:18 GMT /slideshow/5th-international-conference-on-data-science-and-machine-learning-dsml-2024/272692082 acijjournal@slideshare.net(acijjournal) 5th International Conference on Data Science and Machine Learning (DSML 2024) acijjournal 5th International Conference on Data Science and Machine Learning (DSML 2024) December 21 ~ 22, 2024, Sydney, Australia https://csen2024.org/dsml/index Scope & Topics 5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science and Machine Learning. Topics of interest include, but are not limited to, the following Data Mining Parallel and Distributed Data Mining Algorithms Data Streams Mining, Graph Mining, Spatial Data Mining Text video, Multimedia Data Mining, Web Mining Pre-Processing Techniques, Visualization Security and Information Hiding in Data Mining Data mining Applications Databases Bioinformatics Biometrics Image Analysis Financial Modeling Forecasting, Classification, Clustering Cryptography and Information security Social Networks, Educational Data Mining Big Data Big Data Algorithms Big Data Fundamentals Infrastructures for Big Data Big Data Management and Frameworks Big Data Search Big Data security Big Data Applications Data Mining & Machine learning Tasks Machine Learning Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Deep Learning Knowledge Processing Data and Knowledge Representation Knowledge Discovery Framework and Process, Including Pre- and Post-Processing Integration of Data Warehousing OLAP and Data Mining Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge Integrating Constraints and Knowledge in the KDD Process Exploring Data Analysis Statistical Techniques for Generation a Robust Consistent Data Model Interactive Data Exploration / Visualization and Discovery Languages and Interfaces for Data Mining Mining Trends, Opportunities and Risks Paper Submission Authors are invited to submit papers through the conference Submission System by October 26, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from DSML 2024, after further revisions, will be published in the special issue of the following journals. International Journal of Database Management Systems (IJDMS) - WJCI Indexed International Journal of Data Mining & Knowledge Management Process (IJDKP) - WJCI Indexed Machine Learning and Applications: An International Journal (MLAIJ) International Journal of Web & Sema <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dsml2024cfp-241024112018-3f4db250-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 5th International Conference on Data Science and Machine Learning (DSML 2024) December 21 ~ 22, 2024, Sydney, Australia https://csen2024.org/dsml/index Scope &amp; Topics 5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science and Machine Learning. Topics of interest include, but are not limited to, the following Data Mining Parallel and Distributed Data Mining Algorithms Data Streams Mining, Graph Mining, Spatial Data Mining Text video, Multimedia Data Mining, Web Mining Pre-Processing Techniques, Visualization Security and Information Hiding in Data Mining Data mining Applications Databases Bioinformatics Biometrics Image Analysis Financial Modeling Forecasting, Classification, Clustering Cryptography and Information security Social Networks, Educational Data Mining Big Data Big Data Algorithms Big Data Fundamentals Infrastructures for Big Data Big Data Management and Frameworks Big Data Search Big Data security Big Data Applications Data Mining &amp; Machine learning Tasks Machine Learning Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Deep Learning Knowledge Processing Data and Knowledge Representation Knowledge Discovery Framework and Process, Including Pre- and Post-Processing Integration of Data Warehousing OLAP and Data Mining Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge Integrating Constraints and Knowledge in the KDD Process Exploring Data Analysis Statistical Techniques for Generation a Robust Consistent Data Model Interactive Data Exploration / Visualization and Discovery Languages and Interfaces for Data Mining Mining Trends, Opportunities and Risks Paper Submission Authors are invited to submit papers through the conference Submission System by October 26, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science &amp; Information Technology (CS &amp; IT) series (Confirmed). Selected papers from DSML 2024, after further revisions, will be published in the special issue of the following journals. International Journal of Database Management Systems (IJDMS) - WJCI Indexed International Journal of Data Mining &amp; Knowledge Management Process (IJDKP) - WJCI Indexed Machine Learning and Applications: An International Journal (MLAIJ) International Journal of Web &amp; Sema
5th International Conference on Data Science and Machine Learning (DSML 2024) from acijjournal
]]> 29 0 https://cdn.slidesharecdn.com/ss_thumbnails/dsml2024cfp-241024112018-3f4db250-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 MODEL AND ALGORITHM FOR INCREASING THE EFFICIENCY OF REMOTE SERVICE SYSTEMS SERVER /slideshow/model-and-algorithm-for-increasing-the-efficiency-of-remote-service-systems-server-143c/272491095 15424acij022-241017074631-5220e934
ABSTRACT This article examines the aspects that influence productivity in distant service systems during times of request congestion. At the same time, the issue of enhancing system server efficiency without the use of additional hardware or software has been investigated. It has been found that service system efficiency declines during traffic congestion because requests are processed in multiple stages, each with a different service order. Hence, to enhance system efficiency during traffic congestion, a proposal is made to prioritize users whose requests have been successfully served at least once. A physical model of the service process was constructed to assess the efficacy of the proposed approach.The research conducted using this model contributed to an average increase in the efficiency of service systems by 6%. KEYWORDS server performance indicator, priority service, request traffic, service algorithm, mass service model, service time ]]>
ABSTRACT This article examines the aspects that influence productivity in distant service systems during times of request congestion. At the same time, the issue of enhancing system server efficiency without the use of additional hardware or software has been investigated. It has been found that service system efficiency declines during traffic congestion because requests are processed in multiple stages, each with a different service order. Hence, to enhance system efficiency during traffic congestion, a proposal is made to prioritize users whose requests have been successfully served at least once. A physical model of the service process was constructed to assess the efficacy of the proposed approach.The research conducted using this model contributed to an average increase in the efficiency of service systems by 6%. KEYWORDS server performance indicator, priority service, request traffic, service algorithm, mass service model, service time ]]> Thu, 17 Oct 2024 07:46:31 GMT /slideshow/model-and-algorithm-for-increasing-the-efficiency-of-remote-service-systems-server-143c/272491095 acijjournal@slideshare.net(acijjournal) MODEL AND ALGORITHM FOR INCREASING THE EFFICIENCY OF REMOTE SERVICE SYSTEMS SERVER acijjournal ABSTRACT This article examines the aspects that influence productivity in distant service systems during times of request congestion. At the same time, the issue of enhancing system server efficiency without the use of additional hardware or software has been investigated. It has been found that service system efficiency declines during traffic congestion because requests are processed in multiple stages, each with a different service order. Hence, to enhance system efficiency during traffic congestion, a proposal is made to prioritize users whose requests have been successfully served at least once. A physical model of the service process was constructed to assess the efficacy of the proposed approach.The research conducted using this model contributed to an average increase in the efficiency of service systems by 6%. KEYWORDS server performance indicator, priority service, request traffic, service algorithm, mass service model, service time <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/15424acij022-241017074631-5220e934-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ABSTRACT This article examines the aspects that influence productivity in distant service systems during times of request congestion. At the same time, the issue of enhancing system server efficiency without the use of additional hardware or software has been investigated. It has been found that service system efficiency declines during traffic congestion because requests are processed in multiple stages, each with a different service order. Hence, to enhance system efficiency during traffic congestion, a proposal is made to prioritize users whose requests have been successfully served at least once. A physical model of the service process was constructed to assess the efficacy of the proposed approach.The research conducted using this model contributed to an average increase in the efficiency of service systems by 6%. KEYWORDS server performance indicator, priority service, request traffic, service algorithm, mass service model, service time
MODEL AND ALGORITHM FOR INCREASING THE EFFICIENCY OF REMOTE SERVICE SYSTEMS SERVER from acijjournal
]]> 6 0 https://cdn.slidesharecdn.com/ss_thumbnails/15424acij022-241017074631-5220e934-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) /slideshow/5th-international-conference-on-nlp-artificial-intelligence-techniques-nlai-2024/272463726 nlai2024cfp2-241016120355-c12fea80
5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) November 16 ~ 17, 2024, Zurich, Switzerland https://iccsea2024.org/nlai/index Scope & Topics 5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of NLP & Artificial Intelligence Techniques. The Conference looks for significant contributions to all major fields of NLP and Artificial Intelligence in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following NLP Chunking/Shallow Parsing Computational Linguistics & NLP Dialog Systems Discourse Information Extraction Information Retrieval and AI Information Retrieval Lexical Semantics Linguistic Resources Machine Translation Ontology Paraphrasing/Entailment/Generation Parsing/Grammatical Formalisms Phonology, Morphology POS Tagging Question Answering Semantic & NLP Semantic Processing Speech Recognition and Synthesis Spoken Language Processing Statistical and Knowledge based Methods Text Mining NLP & AI Artificial Intelligence Adaptive systems AI Algorithms Artificial Intelligence and Cloud Computing Artificial Intelligence and Internet of Things Artificial Intelligence Cyber Security Artificial Intelligence tools & Applications Automated Machine Learning Bioinformatics, Biometrics Business Intelligence Data and Web mining Deep Learning Ensemble Method Evolutionary Computation Financial Engineering Fuzzy set theory, Fuzzy control and System Geo-informatics Hybrid and Nonlinear system Inductive Learning Information Fusion Information Retrieval Intelligent Agent Intelligent and Knowledge based system Intelligent Control Logistics Machine Learning Tools Media computing Neural network and support vector machine Pattern Recognition Rough and fuzzy rough set Visual information processing Paper Submission Authors are invited to submit papers through the conference Submission System by October 19, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from NLAI 2024, after further revisions, wil]]>
5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) November 16 ~ 17, 2024, Zurich, Switzerland https://iccsea2024.org/nlai/index Scope & Topics 5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of NLP & Artificial Intelligence Techniques. The Conference looks for significant contributions to all major fields of NLP and Artificial Intelligence in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following NLP Chunking/Shallow Parsing Computational Linguistics & NLP Dialog Systems Discourse Information Extraction Information Retrieval and AI Information Retrieval Lexical Semantics Linguistic Resources Machine Translation Ontology Paraphrasing/Entailment/Generation Parsing/Grammatical Formalisms Phonology, Morphology POS Tagging Question Answering Semantic & NLP Semantic Processing Speech Recognition and Synthesis Spoken Language Processing Statistical and Knowledge based Methods Text Mining NLP & AI Artificial Intelligence Adaptive systems AI Algorithms Artificial Intelligence and Cloud Computing Artificial Intelligence and Internet of Things Artificial Intelligence Cyber Security Artificial Intelligence tools & Applications Automated Machine Learning Bioinformatics, Biometrics Business Intelligence Data and Web mining Deep Learning Ensemble Method Evolutionary Computation Financial Engineering Fuzzy set theory, Fuzzy control and System Geo-informatics Hybrid and Nonlinear system Inductive Learning Information Fusion Information Retrieval Intelligent Agent Intelligent and Knowledge based system Intelligent Control Logistics Machine Learning Tools Media computing Neural network and support vector machine Pattern Recognition Rough and fuzzy rough set Visual information processing Paper Submission Authors are invited to submit papers through the conference Submission System by October 19, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from NLAI 2024, after further revisions, wil]]> Wed, 16 Oct 2024 12:03:55 GMT /slideshow/5th-international-conference-on-nlp-artificial-intelligence-techniques-nlai-2024/272463726 acijjournal@slideshare.net(acijjournal) 5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) acijjournal 5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) November 16 ~ 17, 2024, Zurich, Switzerland https://iccsea2024.org/nlai/index Scope & Topics 5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of NLP & Artificial Intelligence Techniques. The Conference looks for significant contributions to all major fields of NLP and Artificial Intelligence in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following NLP Chunking/Shallow Parsing Computational Linguistics & NLP Dialog Systems Discourse Information Extraction Information Retrieval and AI Information Retrieval Lexical Semantics Linguistic Resources Machine Translation Ontology Paraphrasing/Entailment/Generation Parsing/Grammatical Formalisms Phonology, Morphology POS Tagging Question Answering Semantic & NLP Semantic Processing Speech Recognition and Synthesis Spoken Language Processing Statistical and Knowledge based Methods Text Mining NLP & AI Artificial Intelligence Adaptive systems AI Algorithms Artificial Intelligence and Cloud Computing Artificial Intelligence and Internet of Things Artificial Intelligence Cyber Security Artificial Intelligence tools & Applications Automated Machine Learning Bioinformatics, Biometrics Business Intelligence Data and Web mining Deep Learning Ensemble Method Evolutionary Computation Financial Engineering Fuzzy set theory, Fuzzy control and System Geo-informatics Hybrid and Nonlinear system Inductive Learning Information Fusion Information Retrieval Intelligent Agent Intelligent and Knowledge based system Intelligent Control Logistics Machine Learning Tools Media computing Neural network and support vector machine Pattern Recognition Rough and fuzzy rough set Visual information processing Paper Submission Authors are invited to submit papers through the conference Submission System by October 19, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from NLAI 2024, after further revisions, wil <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nlai2024cfp2-241016120355-c12fea80-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 5th International Conference on NLP &amp; Artificial Intelligence Techniques (NLAI 2024) November 16 ~ 17, 2024, Zurich, Switzerland https://iccsea2024.org/nlai/index Scope &amp; Topics 5th International Conference on NLP &amp; Artificial Intelligence Techniques (NLAI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of NLP &amp; Artificial Intelligence Techniques. The Conference looks for significant contributions to all major fields of NLP and Artificial Intelligence in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following NLP Chunking/Shallow Parsing Computational Linguistics &amp; NLP Dialog Systems Discourse Information Extraction Information Retrieval and AI Information Retrieval Lexical Semantics Linguistic Resources Machine Translation Ontology Paraphrasing/Entailment/Generation Parsing/Grammatical Formalisms Phonology, Morphology POS Tagging Question Answering Semantic &amp; NLP Semantic Processing Speech Recognition and Synthesis Spoken Language Processing Statistical and Knowledge based Methods Text Mining NLP &amp; AI Artificial Intelligence Adaptive systems AI Algorithms Artificial Intelligence and Cloud Computing Artificial Intelligence and Internet of Things Artificial Intelligence Cyber Security Artificial Intelligence tools &amp; Applications Automated Machine Learning Bioinformatics, Biometrics Business Intelligence Data and Web mining Deep Learning Ensemble Method Evolutionary Computation Financial Engineering Fuzzy set theory, Fuzzy control and System Geo-informatics Hybrid and Nonlinear system Inductive Learning Information Fusion Information Retrieval Intelligent Agent Intelligent and Knowledge based system Intelligent Control Logistics Machine Learning Tools Media computing Neural network and support vector machine Pattern Recognition Rough and fuzzy rough set Visual information processing Paper Submission Authors are invited to submit papers through the conference Submission System by October 19, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science &amp; Information Technology (CS &amp; IT) series (Confirmed). Selected papers from NLAI 2024, after further revisions, wil
5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) from acijjournal
]]> 30 0 https://cdn.slidesharecdn.com/ss_thumbnails/nlai2024cfp2-241016120355-c12fea80-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 10th International Conference on Information Technology Converge Services (ITCON 2024) /slideshow/10th-international-conference-on-information-technology-converge-services-itcon-2024-dfc7/272427006 itcon2024cfpo194-241015093332-6dadd3bf
10th International Conference on Information Technology Converge Services (ITCON 2024) November 09 ~ 10, 2024, Melbourne, Australia https://csea2024.org/itcon/index Scope &Topics 10th International Conference on Information Technology Converge Services (ITCON 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Technology Converge. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and Information Technology in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following: Advanced IT Bio/Medical Engineering Bioinformatics and Applications Business and Information Systems Cloud computing Convergence in Information Technology Security Data Mining and Knowledge Discovery Digital Convergence Electronic Commerce, Business and Management Grid and Cloud Computing Intelligent Robotics and Autonomous Agent Hardware and Software Design Health and Medical Informatics Hybrid Information Technology Intelligent Communications and Networks IT-based Convergence Technology and Service Multimedia Convergence Smart Card and RFID Technologies Soft Computing and Intelligent Systems Social and Business Aspects of Convergence IT Ubiquitous Computing and Embedded Systems Paper Submission Authors are invited to submit papers through the conference Submission System by October 19, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from CSEA 2024, after further revisions, will be published in the special issues of the following journals International Journal of Computer Networks & Communications (IJCNC) Scopus, ERA, WJCI Indexed International journal of computer science & information Technology (IJCSIT) INSPEC, WJCI Indexed International Journal of Computer Science, Engineering and Applications (IJCSEA) International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) International Journal of Advanced Information Technology (IJAIT) Advanced Computing: An International Journal (ACIJ) International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) International Journal of Information Sciences and Techniques (IJIST) Information Technology in Industry (ITII) Important Dates Second Batch : (Submissions after October 13, ]]>
10th International Conference on Information Technology Converge Services (ITCON 2024) November 09 ~ 10, 2024, Melbourne, Australia https://csea2024.org/itcon/index Scope &Topics 10th International Conference on Information Technology Converge Services (ITCON 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Technology Converge. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and Information Technology in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following: Advanced IT Bio/Medical Engineering Bioinformatics and Applications Business and Information Systems Cloud computing Convergence in Information Technology Security Data Mining and Knowledge Discovery Digital Convergence Electronic Commerce, Business and Management Grid and Cloud Computing Intelligent Robotics and Autonomous Agent Hardware and Software Design Health and Medical Informatics Hybrid Information Technology Intelligent Communications and Networks IT-based Convergence Technology and Service Multimedia Convergence Smart Card and RFID Technologies Soft Computing and Intelligent Systems Social and Business Aspects of Convergence IT Ubiquitous Computing and Embedded Systems Paper Submission Authors are invited to submit papers through the conference Submission System by October 19, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from CSEA 2024, after further revisions, will be published in the special issues of the following journals International Journal of Computer Networks & Communications (IJCNC) Scopus, ERA, WJCI Indexed International journal of computer science & information Technology (IJCSIT) INSPEC, WJCI Indexed International Journal of Computer Science, Engineering and Applications (IJCSEA) International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) International Journal of Advanced Information Technology (IJAIT) Advanced Computing: An International Journal (ACIJ) International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) International Journal of Information Sciences and Techniques (IJIST) Information Technology in Industry (ITII) Important Dates Second Batch : (Submissions after October 13, ]]> Tue, 15 Oct 2024 09:33:32 GMT /slideshow/10th-international-conference-on-information-technology-converge-services-itcon-2024-dfc7/272427006 acijjournal@slideshare.net(acijjournal) 10th International Conference on Information Technology Converge Services (ITCON 2024) acijjournal 10th International Conference on Information Technology Converge Services (ITCON 2024) November 09 ~ 10, 2024, Melbourne, Australia https://csea2024.org/itcon/index Scope &Topics 10th International Conference on Information Technology Converge Services (ITCON 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Technology Converge. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and Information Technology in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following: Advanced IT Bio/Medical Engineering Bioinformatics and Applications Business and Information Systems Cloud computing Convergence in Information Technology Security Data Mining and Knowledge Discovery Digital Convergence Electronic Commerce, Business and Management Grid and Cloud Computing Intelligent Robotics and Autonomous Agent Hardware and Software Design Health and Medical Informatics Hybrid Information Technology Intelligent Communications and Networks IT-based Convergence Technology and Service Multimedia Convergence Smart Card and RFID Technologies Soft Computing and Intelligent Systems Social and Business Aspects of Convergence IT Ubiquitous Computing and Embedded Systems Paper Submission Authors are invited to submit papers through the conference Submission System by October 19, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from CSEA 2024, after further revisions, will be published in the special issues of the following journals International Journal of Computer Networks & Communications (IJCNC) Scopus, ERA, WJCI Indexed International journal of computer science & information Technology (IJCSIT) INSPEC, WJCI Indexed International Journal of Computer Science, Engineering and Applications (IJCSEA) International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) International Journal of Advanced Information Technology (IJAIT) Advanced Computing: An International Journal (ACIJ) International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) International Journal of Information Sciences and Techniques (IJIST) Information Technology in Industry (ITII) Important Dates Second Batch : (Submissions after October 13, <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/itcon2024cfpo194-241015093332-6dadd3bf-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 10th International Conference on Information Technology Converge Services (ITCON 2024) November 09 ~ 10, 2024, Melbourne, Australia https://csea2024.org/itcon/index Scope &amp;Topics 10th International Conference on Information Technology Converge Services (ITCON 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Technology Converge. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and Information Technology in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following: Advanced IT Bio/Medical Engineering Bioinformatics and Applications Business and Information Systems Cloud computing Convergence in Information Technology Security Data Mining and Knowledge Discovery Digital Convergence Electronic Commerce, Business and Management Grid and Cloud Computing Intelligent Robotics and Autonomous Agent Hardware and Software Design Health and Medical Informatics Hybrid Information Technology Intelligent Communications and Networks IT-based Convergence Technology and Service Multimedia Convergence Smart Card and RFID Technologies Soft Computing and Intelligent Systems Social and Business Aspects of Convergence IT Ubiquitous Computing and Embedded Systems Paper Submission Authors are invited to submit papers through the conference Submission System by October 19, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science &amp; Information Technology (CS &amp; IT) series (Confirmed). Selected papers from CSEA 2024, after further revisions, will be published in the special issues of the following journals International Journal of Computer Networks &amp; Communications (IJCNC) Scopus, ERA, WJCI Indexed International journal of computer science &amp; information Technology (IJCSIT) INSPEC, WJCI Indexed International Journal of Computer Science, Engineering and Applications (IJCSEA) International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) International Journal of Advanced Information Technology (IJAIT) Advanced Computing: An International Journal (ACIJ) International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) International Journal of Information Sciences and Techniques (IJIST) Information Technology in Industry (ITII) Important Dates Second Batch : (Submissions after October 13,
10th International Conference on Information Technology Converge Services (ITCON 2024) from acijjournal
]]> 32 0 https://cdn.slidesharecdn.com/ss_thumbnails/itcon2024cfpo194-241015093332-6dadd3bf-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Paper Title - Overview of Structure from Motion /slideshow/paper-title-overview-of-structure-from-motion/272363573 15524acij02-241012093344-c133bb9b
In this paper is given an overview of tools and techniques for obtain information about the geometry of 3D scenes from 2D images. The generating three-dimensional structure from a series of 2D images or video of scenes is known as Structure from Motion (SfM). A central tenet of structure from motion is that, given the position of a feature in one image, it is possible to find the corresponding position of the same feature in successive images. We described methods for the simultaneous recovery of 3D points and camera projection matrices using corresponding image points in multiple views. Structure from Motion (SfM) is a fascinating field within computer vision that seeks to reconstruct a three-dimensional structure of the environment from a sequence of two-dimensional images. At the heart of SfM lies a set of sophisticated algorithms that enable the extraction of spatial information from a series of images. Two public repositories that may be of use are Open SfM and Colmap.]]>
In this paper is given an overview of tools and techniques for obtain information about the geometry of 3D scenes from 2D images. The generating three-dimensional structure from a series of 2D images or video of scenes is known as Structure from Motion (SfM). A central tenet of structure from motion is that, given the position of a feature in one image, it is possible to find the corresponding position of the same feature in successive images. We described methods for the simultaneous recovery of 3D points and camera projection matrices using corresponding image points in multiple views. Structure from Motion (SfM) is a fascinating field within computer vision that seeks to reconstruct a three-dimensional structure of the environment from a sequence of two-dimensional images. At the heart of SfM lies a set of sophisticated algorithms that enable the extraction of spatial information from a series of images. Two public repositories that may be of use are Open SfM and Colmap.]]> Sat, 12 Oct 2024 09:33:44 GMT /slideshow/paper-title-overview-of-structure-from-motion/272363573 acijjournal@slideshare.net(acijjournal) Paper Title - Overview of Structure from Motion acijjournal In this paper is given an overview of tools and techniques for obtain information about the geometry of 3D scenes from 2D images. The generating three-dimensional structure from a series of 2D images or video of scenes is known as Structure from Motion (SfM). A central tenet of structure from motion is that, given the position of a feature in one image, it is possible to find the corresponding position of the same feature in successive images. We described methods for the simultaneous recovery of 3D points and camera projection matrices using corresponding image points in multiple views. Structure from Motion (SfM) is a fascinating field within computer vision that seeks to reconstruct a three-dimensional structure of the environment from a sequence of two-dimensional images. At the heart of SfM lies a set of sophisticated algorithms that enable the extraction of spatial information from a series of images. Two public repositories that may be of use are Open SfM and Colmap. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/15524acij02-241012093344-c133bb9b-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this paper is given an overview of tools and techniques for obtain information about the geometry of 3D scenes from 2D images. The generating three-dimensional structure from a series of 2D images or video of scenes is known as Structure from Motion (SfM). A central tenet of structure from motion is that, given the position of a feature in one image, it is possible to find the corresponding position of the same feature in successive images. We described methods for the simultaneous recovery of 3D points and camera projection matrices using corresponding image points in multiple views. Structure from Motion (SfM) is a fascinating field within computer vision that seeks to reconstruct a three-dimensional structure of the environment from a sequence of two-dimensional images. At the heart of SfM lies a set of sophisticated algorithms that enable the extraction of spatial information from a series of images. Two public repositories that may be of use are Open SfM and Colmap.
Paper Title - Overview of Structure from Motion from acijjournal
]]> 16 0 https://cdn.slidesharecdn.com/ss_thumbnails/15524acij02-241012093344-c133bb9b-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-acijjournal-48x48.jpg?cb=1749819210 https://cdn.slidesharecdn.com/ss_thumbnails/16325acij01-250613125355-fcb04eca-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/application-and-analysis-of-ensemble-algorithms-in-solving-regression-problems/280514844 Application and Analys... https://cdn.slidesharecdn.com/ss_thumbnails/netcom2025cfp-250530080100-0bc21f3c-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/17th-international-conference-on-networks-communications-netcom-2025/279913176 17th International Con... https://cdn.slidesharecdn.com/ss_thumbnails/15624acij01-250528154458-51f29605-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/methods-and-algorithms-for-assessing-computer-network-performance-fe1f/279810957 METHODS AND ALGORITHMS...