Multimedia
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Multimedia refers to using multiple forms of media like images, animation, and audio together. It is commonly used for presentations and websites to engage audiences in a visual way. Popular image file formats used in multimedia include JPEG and GIF for photos due to their ability to reduce file size without significant quality loss, while TIF maintains higher quality for other uses like printing.
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Sunny Chendi, Senior Regional Advisor, Membership and Policy at APNIC, presented an 'Introduction on how unique identifier systems are managed and coordinated - RIRs (APNIC for APAC), ICANN, IETF and policy development' at MyAPIGA 2025 held in Putrajaya from 16 to 18 February 2025.加拿大毕业证（鲍罢惭成绩单）多伦多大学毕业证如何办理
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专业评定：留信认证不仅认证你的学位证书，还会对你的所学专业进行评定。这有助于展示你的学术背景，特别是对于国内公司而言，能够清楚了解你所学专业的水平和价值。
国家人才库入库：认证后，你的信息将被纳入国家人才库，并且可以在国家人才网等平台上展示，供包括500强公司等大型公司挑选和聘用人才。这对于回国找工作特别是进入大公司，具有非常积极的作用。
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Introduction on how unique identifier systems are managed and coordinated - R...APNIC
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Sunny Chendi, Senior Regional Advisor, Membership and Policy at APNIC, presented an 'Introduction on how unique identifier systems are managed and coordinated - RIRs (APNIC for APAC), ICANN, IETF and policy development' at MyAPIGA 2025 held in Putrajaya from 16 to 18 February 2025.加拿大毕业证（鲍罢惭成绩单）多伦多大学毕业证如何办理
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专业评定：留信认证不仅认证你的学位证书，还会对你的所学专业进行评定。这有助于展示你的学术背景，特别是对于国内公司而言，能够清楚了解你所学专业的水平和价值。
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如果您在英、加、美、澳、欧洲等留学过程中或回国后：
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2、面对父母的压力，希望尽快拿到；
3、不清楚认证流程以及材料该如何准备；
4、回国时间很长，忘记办理；
5、回国马上就要找工作《正式成绩单百年理工学院学历证书申请》【q薇1954292140】《成绩单详解细节CC毕业证书样本》办给用人单位看；
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7、需要报考公务员、购买免税车、落转户口、申请留学生创业基金。
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特殊原因导致无法毕业，也可以联系我们帮您办理相关材料：
１：在百年理工学院挂科了，不想读了，成绩不理想怎么办？？？
2：打算回国了，找工作的时候，需要提供认证《CC成绩单购买办理百年理工学院毕业证书范本》【Q/WeChat：1954292140】Buy Centennial College of Applied Arts and Technology Diploma《正式成绩单论文没过》有文凭却得不到认证。又该怎么办？？？加拿大毕业证购买，加拿大文凭购买，
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主营项目：
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3、真实使馆认证（即留学人员回国证明），使馆存档可通过大使馆查询确认.
4、留信网认证，国家专业人才认证中心颁发入库证书，留信网存档可查.
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专业评定：留信认证不仅认证你的学位证书，还会对你的所学专业进行评定。这有助于展示你的学术背景，特别是对于国内公司而言，能够清楚了解你所学专业的水平和价值。
国家人才库入库：认证后，你的信息将被纳入国家人才库，并且可以在国家人才网等平台上展示，供包括500强公司等大型公司挑选和聘用人才。这对于回国找工作特别是进入大公司，具有非常积极的作用。
KeepItOn-2024-Internet-Shutdowns-Annual-Report.pdf
KeepItOn-2024-Internet-Shutdowns-Annual-Report.pdfsabranghindi
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India’s figure of 84 shutdowns in 2024 is surpassed only by Myanmar, which endured 85 shutdowns under the military junta’s rule. 
Mastering FortiWeb: An Extensive Admin Guide for Secure Deployments
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The document was created with reference to the official FortiWeb Admin Guide published by Fortinet. To maintain subject integrity and leverage the manufacturer's expertise, the section headings were closely followed, and the content was developed accordingly.
You can access short videos demonstrating the technical configurations covered in this document on the YouTube page below:
https://www.youtube.com/@PacketGuardAcademy IPv6 - Global and Malaysia's Perspectives
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APNIC's Senior Regional Advisor, Membership and Policy, Sunny Chendi presented on IPv6 at MyAPIGA 2025 held in Putrajaya from 16 to 18 February 2025. SMOAD Networks Load Balancing Router in Chennai.pptx
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SMOAD Networks is a cutting-edge technology company specializing in advanced networking solutions, including SIM-based WiFi routers, SD-WAN solutions, and load-balancing routers. With a strong presence in Bangalore and Chennai, SMOAD is revolutionizing connectivity by providing businesses with reliable, secure, and high-speed internet solutions.
Our Key Solutions:
? SIM-Based WiFi Router in Bangalore: Enables seamless internet connectivity using multiple SIM networks, ensuring uninterrupted access for businesses, remote workers, and IoT applications.
? SD-WAN Solutions in Chennai: Optimizes network performance, enhances security, and reduces operational costs by intelligently managing WAN connections.
? Load Balancing Router in Chennai: Distributes internet traffic efficiently across multiple connections, preventing downtime and enhancing business continuity.
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This webinar provides an overview of HITRUST, a widely recognized cybersecurity framework, and its application in AI assessments for risk management and compliance. It explores different HITRUST assessment options, including AI-specific frameworks, and highlights how organizations can streamline certification processes to enhance security and regulatory adherence.AstuteAP: AI-Powered Supplier Invoice Automation for Seamless Accounts Payabl...
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health care quality indicator are more than 76 indicator to view the patient excellence in care Elliptic Curve Cryptography Algorithm with Recurrent Neural Networks for Atta...
Elliptic Curve Cryptography Algorithm with Recurrent Neural Networks for Atta...IJCNCJournal
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The increasing use of Industrial Internet of Things (IIoT) devices has brought about new security vulnerabilities, emphasizing the need to create strong and effective security solutions. This research proposes a two-layered approach to enhance security in IIoT networks by combining lightweight encryption and RNN-based attack detection. The first layer utilizes Improved Elliptic Curve Cryptography (IECC), a novel encryption scheme tailored for IIoT devices with limited computational resources. IECC employs a Modified Windowed Method (MWM) to optimize key generation, reducing computational overhead and enabling efficient secure data transmission between IIoT sensors and gateways. The second layer employs a Recurrent Neural Network (RNN) for real-time attack detection. The RNN model is trained on a comprehensive dataset of IIoT network traffic, including instances of Distributed Denial of Service (DDoS), Man-in-the-Middle (MitM), ransomware attacks, and normal communications. The RNN effectively extracts contextual features from IIoT nodes and accurately predicts and classifies potential attacks. The effectiveness of the proposed two-layered approach is evaluated using three phases. The first phase compares the computational efficiency of IECC to established cryptographic algorithms including RSA, AES, DSA, Diffie-Hellman, SHA-256 and ECDSA. IECC outperforms all competitors in key eneration speed, encryption and decryption time, throughput, memory usage, information loss, and overall processing time. The second phase evaluates the prediction accuracy of the RNN model compared to other AI-based models DNNs, DBNs, RBFNs, and LSTM networks. The proposed RNN achieves the highest overall accuracy of 96.4%, specificity of 96.5%, precision of 95.2%, and recall of 96.8%, and the lowest false positive of 3.2% and false negative rates of 3.1%.
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