ºÝºÝߣshows by User: RezaSadeghi4 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: RezaSadeghi4 / Sat, 23 May 2020 19:39:36 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: RezaSadeghi4 Predicting Subjective Sleep Quality Using Objective Measurements in Older Adults /slideshow/dissertation-slidespredicting-subjective-sleep-quality-using-objective-measurements-in-older-adults/234507301 dissertationslidesrezasadeghipredictingsubjectivesleepqualityusingobjectivemeasurementsinolderadults-200523193936
Sadeghi, R. (2020). Predicting Subjective Sleep Quality Using Objective Measurements in Older Adults (Doctoral dissertation, Wright State University).]]>
Sadeghi, R. (2020). Predicting Subjective Sleep Quality Using Objective Measurements in Older Adults (Doctoral dissertation, Wright State University).]]> Sat, 23 May 2020 19:39:36 GMT /slideshow/dissertation-slidespredicting-subjective-sleep-quality-using-objective-measurements-in-older-adults/234507301 RezaSadeghi4@slideshare.net(RezaSadeghi4) Predicting Subjective Sleep Quality Using Objective Measurements in Older Adults RezaSadeghi4 Sadeghi, R. (2020). Predicting Subjective Sleep Quality Using Objective Measurements in Older Adults (Doctoral dissertation, Wright State University). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dissertationslidesrezasadeghipredictingsubjectivesleepqualityusingobjectivemeasurementsinolderadults-200523193936-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Sadeghi, R. (2020). Predicting Subjective Sleep Quality Using Objective Measurements in Older Adults (Doctoral dissertation, Wright State University).
Predicting Subjective Sleep Quality Using Objective Measurements in Older Adults from Reza Sadeghi
]]> 328 0 https://cdn.slidesharecdn.com/ss_thumbnails/dissertationslidesrezasadeghipredictingsubjectivesleepqualityusingobjectivemeasurementsinolderadults-200523193936-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Sleep quality prediction in caregivers using physiological signals /slideshow/sleep-quality-prediction-in-caregivers-using-physiological-signals-146925927/146925927 sleepqualitypredictionincaregiversusingphysiologicalsignals-190521162057
The presentation slides of the following paper: R. Sadeghi, T. Banerjee, J.C. Hughes, L.W. Lawhorne, Sleep quality prediction in caregivers using physiological signals, Computers in Biology and Medicine (2019), doi:https://doi.org/10.1016/j.compbiomed.2019.05.010.]]>
The presentation slides of the following paper: R. Sadeghi, T. Banerjee, J.C. Hughes, L.W. Lawhorne, Sleep quality prediction in caregivers using physiological signals, Computers in Biology and Medicine (2019), doi:https://doi.org/10.1016/j.compbiomed.2019.05.010.]]> Tue, 21 May 2019 16:20:57 GMT /slideshow/sleep-quality-prediction-in-caregivers-using-physiological-signals-146925927/146925927 RezaSadeghi4@slideshare.net(RezaSadeghi4) Sleep quality prediction in caregivers using physiological signals RezaSadeghi4 The presentation slides of the following paper: R. Sadeghi, T. Banerjee, J.C. Hughes, L.W. Lawhorne, Sleep quality prediction in caregivers using physiological signals, Computers in Biology and Medicine (2019), doi:https://doi.org/10.1016/j.compbiomed.2019.05.010. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sleepqualitypredictionincaregiversusingphysiologicalsignals-190521162057-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The presentation slides of the following paper: R. Sadeghi, T. Banerjee, J.C. Hughes, L.W. Lawhorne, Sleep quality prediction in caregivers using physiological signals, Computers in Biology and Medicine (2019), doi:https://doi.org/10.1016/j.compbiomed.2019.05.010.
Sleep quality prediction in caregivers using physiological signals from Reza Sadeghi
]]> 337 2 https://cdn.slidesharecdn.com/ss_thumbnails/sleepqualitypredictionincaregiversusingphysiologicalsignals-190521162057-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A review on early hospital mortality prediction using vital signals /slideshow/a-review-on-early-hospital-mortality-prediction-using-vital-signals/140361086 areviewonearlyhospitalmortalitypredictionusingvitalsignals-190410192346
It is a review on the early hospital mortality prediction, especially over its machine learning portion.]]>
It is a review on the early hospital mortality prediction, especially over its machine learning portion.]]> Wed, 10 Apr 2019 19:23:46 GMT /slideshow/a-review-on-early-hospital-mortality-prediction-using-vital-signals/140361086 RezaSadeghi4@slideshare.net(RezaSadeghi4) A review on early hospital mortality prediction using vital signals RezaSadeghi4 It is a review on the early hospital mortality prediction, especially over its machine learning portion. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/areviewonearlyhospitalmortalitypredictionusingvitalsignals-190410192346-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> It is a review on the early hospital mortality prediction, especially over its machine learning portion.
A review on early hospital mortality prediction using vital signals from Reza Sadeghi
]]> 145 2 https://cdn.slidesharecdn.com/ss_thumbnails/areviewonearlyhospitalmortalitypredictionusingvitalsignals-190410192346-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A review on Analyzing Multiple Medical Corpora Using Word Embedding /RezaSadeghi4/a-review-on-analyzing-multiple-medical-corpora-using-word-embedding wordembeddingpresentation-190307153633
The goals of this paper are as follows: evaluating the effectiveness of word2vec in representingboth medical terms and medical relations, and investigate how different genres of medical text corpora affect the word embedding models learned for medical concepts.]]>
The goals of this paper are as follows: evaluating the effectiveness of word2vec in representingboth medical terms and medical relations, and investigate how different genres of medical text corpora affect the word embedding models learned for medical concepts.]]> Thu, 07 Mar 2019 15:36:33 GMT /RezaSadeghi4/a-review-on-analyzing-multiple-medical-corpora-using-word-embedding RezaSadeghi4@slideshare.net(RezaSadeghi4) A review on Analyzing Multiple Medical Corpora Using Word Embedding RezaSadeghi4 The goals of this paper are as follows: evaluating the effectiveness of word2vec in representing�both medical terms and medical relations, and investigate how different genres of medical text corpora affect the word embedding models learned for medical concepts. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wordembeddingpresentation-190307153633-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The goals of this paper are as follows: evaluating the effectiveness of word2vec in representing�both medical terms and medical relations, and investigate how different genres of medical text corpora affect the word embedding models learned for medical concepts.
A review on Analyzing Multiple Medical Corpora Using Word Embedding from Reza Sadeghi
]]> 118 2 https://cdn.slidesharecdn.com/ss_thumbnails/wordembeddingpresentation-190307153633-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Chase presentation /slideshow/chase-presentation-117071754/117071754 chasepresentation-180928091747
Early hospital mortality prediction using vital signals]]>
Early hospital mortality prediction using vital signals]]> Fri, 28 Sep 2018 09:17:47 GMT /slideshow/chase-presentation-117071754/117071754 RezaSadeghi4@slideshare.net(RezaSadeghi4) Chase presentation RezaSadeghi4 Early hospital mortality prediction using vital signals <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chasepresentation-180928091747-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Early hospital mortality prediction using vital signals
Chase presentation from Reza Sadeghi
]]> 325 3 https://cdn.slidesharecdn.com/ss_thumbnails/chasepresentation-180928091747-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Early hospital mortality prediction using vital signals /RezaSadeghi4/early-hospital-mortality-prediction-using-vital-signals earlyhospitalmortalitypredictionusingvitalsignals-180320222414
Early hospital mortality prediction is critical as intensivists strive to make efficient medical decisions about the severely ill patients staying in intensive care units. As a result, various methods have been developed to address this problem based on clinical records. However, some of the laboratory test results are time-consuming and need to be processed. In this paper, we propose a novel method to predict mortality using features extracted from the heart signals of patients within the first hour of ICU admission. In order to predict the risk, quantitative features have been computed based on the heart rate signals of ICU patients. Each signal is described in terms of 12 statistical and signal-based features. The extracted features are fed into eight classifiers: decision tree, linear discriminant, logistic regression, support vector machine (SVM), random forest, boosted trees, Gaussian SVM, and K-nearest neighborhood (K-NN). To derive insight into the performance of the proposed method, several experiments have been conducted using the well-known clinical dataset named Medical Information Mart for Intensive Care III (MIMIC-III). The experimental results demonstrate the capability of the proposed method in terms of precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC). The decision tree classifier satisfies both accuracy and interpretability better than the other classifiers, producing an F1-score and AUC equal to 0.91 and 0.93, respectively. It indicates that heart rate signals can be used for predicting mortality in patients in the ICU, achieving a comparable performance with existing predictions that rely on high dimensional features from clinical records which need to be processed and may contain missing information.]]>
Early hospital mortality prediction is critical as intensivists strive to make efficient medical decisions about the severely ill patients staying in intensive care units. As a result, various methods have been developed to address this problem based on clinical records. However, some of the laboratory test results are time-consuming and need to be processed. In this paper, we propose a novel method to predict mortality using features extracted from the heart signals of patients within the first hour of ICU admission. In order to predict the risk, quantitative features have been computed based on the heart rate signals of ICU patients. Each signal is described in terms of 12 statistical and signal-based features. The extracted features are fed into eight classifiers: decision tree, linear discriminant, logistic regression, support vector machine (SVM), random forest, boosted trees, Gaussian SVM, and K-nearest neighborhood (K-NN). To derive insight into the performance of the proposed method, several experiments have been conducted using the well-known clinical dataset named Medical Information Mart for Intensive Care III (MIMIC-III). The experimental results demonstrate the capability of the proposed method in terms of precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC). The decision tree classifier satisfies both accuracy and interpretability better than the other classifiers, producing an F1-score and AUC equal to 0.91 and 0.93, respectively. It indicates that heart rate signals can be used for predicting mortality in patients in the ICU, achieving a comparable performance with existing predictions that rely on high dimensional features from clinical records which need to be processed and may contain missing information.]]> Tue, 20 Mar 2018 22:24:14 GMT /RezaSadeghi4/early-hospital-mortality-prediction-using-vital-signals RezaSadeghi4@slideshare.net(RezaSadeghi4) Early hospital mortality prediction using vital signals RezaSadeghi4 Early hospital mortality prediction is critical as intensivists strive to make efficient medical decisions about the severely ill patients staying in intensive care units. As a result, various methods have been developed to address this problem based on clinical records. However, some of the laboratory test results are time-consuming and need to be processed. In this paper, we propose a novel method to predict mortality using features extracted from the heart signals of patients within the first hour of ICU admission. In order to predict the risk, quantitative features have been computed based on the heart rate signals of ICU patients. Each signal is described in terms of 12 statistical and signal-based features. The extracted features are fed into eight classifiers: decision tree, linear discriminant, logistic regression, support vector machine (SVM), random forest, boosted trees, Gaussian SVM, and K-nearest neighborhood (K-NN). To derive insight into the performance of the proposed method, several experiments have been conducted using the well-known clinical dataset named Medical Information Mart for Intensive Care III (MIMIC-III). The experimental results demonstrate the capability of the proposed method in terms of precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC). The decision tree classifier satisfies both accuracy and interpretability better than the other classifiers, producing an F1-score and AUC equal to 0.91 and 0.93, respectively. It indicates that heart rate signals can be used for predicting mortality in patients in the ICU, achieving a comparable performance with existing predictions that rely on high dimensional features from clinical records which need to be processed and may contain missing information. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/earlyhospitalmortalitypredictionusingvitalsignals-180320222414-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Early hospital mortality prediction is critical as intensivists strive to make efficient medical decisions about the severely ill patients staying in intensive care units. As a result, various methods have been developed to address this problem based on clinical records. However, some of the laboratory test results are time-consuming and need to be processed. In this paper, we propose a novel method to predict mortality using features extracted from the heart signals of patients within the first hour of ICU admission. In order to predict the risk, quantitative features have been computed based on the heart rate signals of ICU patients. Each signal is described in terms of 12 statistical and signal-based features. The extracted features are fed into eight classifiers: decision tree, linear discriminant, logistic regression, support vector machine (SVM), random forest, boosted trees, Gaussian SVM, and K-nearest neighborhood (K-NN). To derive insight into the performance of the proposed method, several experiments have been conducted using the well-known clinical dataset named Medical Information Mart for Intensive Care III (MIMIC-III). The experimental results demonstrate the capability of the proposed method in terms of precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC). The decision tree classifier satisfies both accuracy and interpretability better than the other classifiers, producing an F1-score and AUC equal to 0.91 and 0.93, respectively. It indicates that heart rate signals can be used for predicting mortality in patients in the ICU, achieving a comparable performance with existing predictions that rely on high dimensional features from clinical records which need to be processed and may contain missing information.
Early hospital mortality prediction using vital signals from Reza Sadeghi
]]> 301 3 https://cdn.slidesharecdn.com/ss_thumbnails/earlyhospitalmortalitypredictionusingvitalsignals-180320222414-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach /slideshow/early-hospital-mortality-prediction-of-intensive-care-unit-patients-using-an-ensemble-learning-approach/81667631 earlyhospitalmortalitypredictionofintensivecareunitpatientsusinganensemblelearningapproach-171106165131
A review on "Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach" published 2017 on International Journal of Medical Informatics]]>
A review on "Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach" published 2017 on International Journal of Medical Informatics]]> Mon, 06 Nov 2017 16:51:31 GMT /slideshow/early-hospital-mortality-prediction-of-intensive-care-unit-patients-using-an-ensemble-learning-approach/81667631 RezaSadeghi4@slideshare.net(RezaSadeghi4) Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach RezaSadeghi4 A review on "Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach" published 2017 on International Journal of Medical Informatics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/earlyhospitalmortalitypredictionofintensivecareunitpatientsusinganensemblelearningapproach-171106165131-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A review on &quot;Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach&quot; published 2017 on International Journal of Medical Informatics
Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach from Reza Sadeghi
]]> 272 1 https://cdn.slidesharecdn.com/ss_thumbnails/earlyhospitalmortalitypredictionofintensivecareunitpatientsusinganensemblelearningapproach-171106165131-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A review on Exploiting experts’ knowledge for structure learning of bayesian networks /slideshow/a-review-on-exploiting-experts-knowledge-for-structure-learning-of-bayesian-networks/81066596 areviewonexploitingexpertsknowledgeforstructurelearningofbayesiannetworks-171022133431
It is A review on a paper titled "Exploiting experts’ knowledge for structure learning of Bayesian networks" published in 2017.]]>
It is A review on a paper titled "Exploiting experts’ knowledge for structure learning of Bayesian networks" published in 2017.]]> Sun, 22 Oct 2017 13:34:31 GMT /slideshow/a-review-on-exploiting-experts-knowledge-for-structure-learning-of-bayesian-networks/81066596 RezaSadeghi4@slideshare.net(RezaSadeghi4) A review on Exploiting experts’ knowledge for structure learning of bayesian networks RezaSadeghi4 It is A review on a paper titled "Exploiting experts’ knowledge for structure learning of Bayesian networks" published in 2017. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/areviewonexploitingexpertsknowledgeforstructurelearningofbayesiannetworks-171022133431-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> It is A review on a paper titled &quot;Exploiting experts’ knowledge for structure learning of Bayesian networks&quot; published in 2017.
A review on Exploiting experts’ knowledge for structure learning of bayesian networks from Reza Sadeghi
]]> 218 4 https://cdn.slidesharecdn.com/ss_thumbnails/areviewonexploitingexpertsknowledgeforstructurelearningofbayesiannetworks-171022133431-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Signal processing of heart signals /slideshow/signal-processing-of-heart-signals/80083096 signalprocessingofheartsignals-170923133701
A review on: Signal processing of heart signals for the quantification of non-deterministic events Authors: Véronique Millette and Natalie Baddour]]>
A review on: Signal processing of heart signals for the quantification of non-deterministic events Authors: Véronique Millette and Natalie Baddour]]> Sat, 23 Sep 2017 13:37:01 GMT /slideshow/signal-processing-of-heart-signals/80083096 RezaSadeghi4@slideshare.net(RezaSadeghi4) Signal processing of heart signals RezaSadeghi4 A review on: Signal processing of heart signals for the quantification of non-deterministic events Authors: Véronique Millette and Natalie Baddour <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/signalprocessingofheartsignals-170923133701-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A review on: Signal processing of heart signals for the quantification of non-deterministic events Authors: Véronique Millette and Natalie Baddour
Signal processing of heart signals from Reza Sadeghi
]]> 114 3 https://cdn.slidesharecdn.com/ss_thumbnails/signalprocessingofheartsignals-170923133701-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Strengthening support vector classifiers based on fuzzy logic and evolutionary methods_Manuscript /slideshow/strengthening-support-vector-classifiers-based-on-fuzzy-logic-and-evolutionary-methodsmanuscript/75151722 rezasadeghithesisdoc-170419005607
My master thesis documentation]]>
My master thesis documentation]]> Wed, 19 Apr 2017 00:56:07 GMT /slideshow/strengthening-support-vector-classifiers-based-on-fuzzy-logic-and-evolutionary-methodsmanuscript/75151722 RezaSadeghi4@slideshare.net(RezaSadeghi4) Strengthening support vector classifiers based on fuzzy logic and evolutionary methods_Manuscript RezaSadeghi4 My master thesis documentation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rezasadeghithesisdoc-170419005607-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> My master thesis documentation
Strengthening support vector classifiers based on fuzzy logic and evolutionary methods_Manuscript from Reza Sadeghi
]]> 105 4 https://cdn.slidesharecdn.com/ss_thumbnails/rezasadeghithesisdoc-170419005607-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 Strengthening support vector classifiers based on fuzzy logic and evolutionary methods_Presentation /slideshow/strengthening-support-vector-classifiers-based-on-fuzzy-logic-and-evolutionary-methodspresentation/75151668 rezasadeghithesispresentation-170419005310
My master thesis presentation]]>
My master thesis presentation]]> Wed, 19 Apr 2017 00:53:10 GMT /slideshow/strengthening-support-vector-classifiers-based-on-fuzzy-logic-and-evolutionary-methodspresentation/75151668 RezaSadeghi4@slideshare.net(RezaSadeghi4) Strengthening support vector classifiers based on fuzzy logic and evolutionary methods_Presentation RezaSadeghi4 My master thesis presentation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rezasadeghithesispresentation-170419005310-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> My master thesis presentation
Strengthening support vector classifiers based on fuzzy logic and evolutionary methods_Presentation from Reza Sadeghi
]]> 107 5 https://cdn.slidesharecdn.com/ss_thumbnails/rezasadeghithesispresentation-170419005310-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A review on typing on flat glass /RezaSadeghi4/a-review-on-typing-on-flat-glass areviewontypingonflatglass-170312175041
A review on following paper: Typing on flat glass: Examining ten-finger expert typing patterns on touch surfaces]]>
A review on following paper: Typing on flat glass: Examining ten-finger expert typing patterns on touch surfaces]]> Sun, 12 Mar 2017 17:50:40 GMT /RezaSadeghi4/a-review-on-typing-on-flat-glass RezaSadeghi4@slideshare.net(RezaSadeghi4) A review on typing on flat glass RezaSadeghi4 A review on following paper: Typing on flat glass: Examining ten-finger expert typing patterns on touch surfaces <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/areviewontypingonflatglass-170312175041-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A review on following paper: Typing on flat glass: Examining ten-finger expert typing patterns on touch surfaces
A review on typing on flat glass from Reza Sadeghi
]]> 111 5 https://cdn.slidesharecdn.com/ss_thumbnails/areviewontypingonflatglass-170312175041-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ±Ê°ù´Ç³Ù鲵é /slideshow/protg-65941052/65941052 protg-160912160930
It is my presentation which I utilized to introduce ±Ê°ù´Ç³Ù鲵é for implementation of anthologies. ]]>
It is my presentation which I utilized to introduce ±Ê°ù´Ç³Ù鲵é for implementation of anthologies. ]]> Mon, 12 Sep 2016 16:09:30 GMT /slideshow/protg-65941052/65941052 RezaSadeghi4@slideshare.net(RezaSadeghi4) ±Ê°ù´Ç³Ù鲵é RezaSadeghi4 It is my presentation which I utilized to introduce ±Ê°ù´Ç³Ù鲵é for implementation of anthologies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/protg-160912160930-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> It is my presentation which I utilized to introduce ±Ê°ù´Ç³Ù鲵é for implementation of anthologies.
±Ê°ù´Ç³Ù辿g辿 from Reza Sadeghi
]]> 250 4 https://cdn.slidesharecdn.com/ss_thumbnails/protg-160912160930-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Web navigation based on markov and anthology /slideshow/web-navigation-based-on-markov-and-anthology/65940662 webnavigationbasedonmarkovandanthology-160912160030
It is a brief introduction of our project in Expert system's course. In fact, we enhanced web navigation by MRP and anthology models.]]>
It is a brief introduction of our project in Expert system's course. In fact, we enhanced web navigation by MRP and anthology models.]]> Mon, 12 Sep 2016 16:00:30 GMT /slideshow/web-navigation-based-on-markov-and-anthology/65940662 RezaSadeghi4@slideshare.net(RezaSadeghi4) Web navigation based on markov and anthology RezaSadeghi4 It is a brief introduction of our project in Expert system's course. In fact, we enhanced web navigation by MRP and anthology models. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/webnavigationbasedonmarkovandanthology-160912160030-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> It is a brief introduction of our project in Expert system&#39;s course. In fact, we enhanced web navigation by MRP and anthology models.
Web navigation based on markov and anthology from Reza Sadeghi
]]> 102 4 https://cdn.slidesharecdn.com/ss_thumbnails/webnavigationbasedonmarkovandanthology-160912160030-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Modeling, Simulation and Analysis of Fuzzy Systems in Mat lab /slideshow/modeling-simulation-and-analysis-of-fuzzy-systems-in-mat-lab/65912134 teachingmatlabta-160911192302
This is one of the my TA presentations in Advanced engineering mathematics. The main goal was Modeling, Simulation and Analysis of Fuzzy Systems in Mat lab.]]>
This is one of the my TA presentations in Advanced engineering mathematics. The main goal was Modeling, Simulation and Analysis of Fuzzy Systems in Mat lab.]]> Sun, 11 Sep 2016 19:23:02 GMT /slideshow/modeling-simulation-and-analysis-of-fuzzy-systems-in-mat-lab/65912134 RezaSadeghi4@slideshare.net(RezaSadeghi4) Modeling, Simulation and Analysis of Fuzzy Systems in Mat lab RezaSadeghi4 This is one of the my TA presentations in Advanced engineering mathematics. The main goal was Modeling, Simulation and Analysis of Fuzzy Systems in Mat lab. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/teachingmatlabta-160911192302-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is one of the my TA presentations in Advanced engineering mathematics. The main goal was Modeling, Simulation and Analysis of Fuzzy Systems in Mat lab.
Modeling, Simulation and Analysis of Fuzzy Systems in Mat lab from Reza Sadeghi
]]> 235 4 https://cdn.slidesharecdn.com/ss_thumbnails/teachingmatlabta-160911192302-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Oracle log miner /slideshow/oracle-log-miner-53362226/53362226 oraclelogminer-150930084704-lva1-app6892
An introduction to log miner tool in oracle]]>
An introduction to log miner tool in oracle]]> Wed, 30 Sep 2015 08:47:04 GMT /slideshow/oracle-log-miner-53362226/53362226 RezaSadeghi4@slideshare.net(RezaSadeghi4) Oracle log miner RezaSadeghi4 An introduction to log miner tool in oracle <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/oraclelogminer-150930084704-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An introduction to log miner tool in oracle
Oracle log miner from Reza Sadeghi
]]> 640 4 https://cdn.slidesharecdn.com/ss_thumbnails/oraclelogminer-150930084704-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Invitation for master thesis defence /slideshow/invitation-for-master-thesis-defence/52717610 invitationformasterthesisdefence-150913074905-lva1-app6892
It would be a pleasure and honor for me if you attend my master defense presentation Best Regards]]>
It would be a pleasure and honor for me if you attend my master defense presentation Best Regards]]> Sun, 13 Sep 2015 07:49:05 GMT /slideshow/invitation-for-master-thesis-defence/52717610 RezaSadeghi4@slideshare.net(RezaSadeghi4) Invitation for master thesis defence RezaSadeghi4 It would be a pleasure and honor for me if you attend my master defense presentation Best Regards <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/invitationformasterthesisdefence-150913074905-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> It would be a pleasure and honor for me if you attend my master defense presentation Best Regards
Invitation for master thesis defence from Reza Sadeghi
]]> 3808 13 https://cdn.slidesharecdn.com/ss_thumbnails/invitationformasterthesisdefence-150913074905-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Secure routing for wireless NANs /slideshow/secure-routing-for-wireless-nans/51315407 secureroutingforwirelessnans-150805175324-lva1-app6891
In this presentation security in NAN network as important part of smart grid communication has been studied.]]>
In this presentation security in NAN network as important part of smart grid communication has been studied.]]> Wed, 05 Aug 2015 17:53:24 GMT /slideshow/secure-routing-for-wireless-nans/51315407 RezaSadeghi4@slideshare.net(RezaSadeghi4) Secure routing for wireless NANs RezaSadeghi4 In this presentation security in NAN network as important part of smart grid communication has been studied. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/secureroutingforwirelessnans-150805175324-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this presentation security in NAN network as important part of smart grid communication has been studied.
Secure routing for wireless NANs from Reza Sadeghi
]]> 402 7 https://cdn.slidesharecdn.com/ss_thumbnails/secureroutingforwirelessnans-150805175324-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-RezaSadeghi4-48x48.jpg?cb=1720755669 rezasadeghiwsu.github.io/Website/ https://cdn.slidesharecdn.com/ss_thumbnails/dissertationslidesrezasadeghipredictingsubjectivesleepqualityusingobjectivemeasurementsinolderadults-200523193936-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dissertation-slidespredicting-subjective-sleep-quality-using-objective-measurements-in-older-adults/234507301 Predicting Subjective ... https://cdn.slidesharecdn.com/ss_thumbnails/sleepqualitypredictionincaregiversusingphysiologicalsignals-190521162057-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/sleep-quality-prediction-in-caregivers-using-physiological-signals-146925927/146925927 Sleep quality predicti... https://cdn.slidesharecdn.com/ss_thumbnails/areviewonearlyhospitalmortalitypredictionusingvitalsignals-190410192346-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/a-review-on-early-hospital-mortality-prediction-using-vital-signals/140361086 A review on early hosp...