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Edge Computing and IoT: Systems, Management and Security -

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        Avis sur Edge Computing And Iot: Systems, Management And Security Format Broché  - Livre Informatique

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        Présentation Edge Computing And Iot: Systems, Management And Security Format Broché

         - Livre Informatique

        Livre Informatique - 01/03/2023 - Broché - Langue : Anglais

        . .

      • Editeur : Springer International Publishing Ag
      • Langue : Anglais
      • Parution : 01/03/2023
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 336
      • Expédition : 511
      • Dimensions : 23.5 x 15.5 x 1.9
      • ISBN : 9783031289897



      • Résumé :
        Models and methods for data management in IoT.- Forecasting the Temperature of BEV Battery Pack based on Field Testing Data.- The Data Exchange Protocol over Multi-chain BlockchainUsing Zero-knowledge Proof.- A Hybrid Task Offloading and Service Cache Scheme for Vehicular Edge Computing.- On Enhancing Transmission Performance for IoV Based on Improved Greedy Algorithm.- Precise Segmentation on Poly-Yolo, YoloV5 and FCN.- Adaptive approaches to manage energy consumption and security of systems.- Research on DAG Based Consensus Mechanism for Adjustable Load Metering Data.- A Detection and Information Processing Model based on an Automatic Mechanism for Tax Payment Control in Developing Countries.- IEC-FOF: An Industrial Electricity Consumption Forecasting and Optimization Framework.- Demons Hidden in the Light: Unrestricted Adversarial Illumination Attacks.- Edge Intelligence Based Garbage Classification Detection Method.- Mobile computing in wireless networks.- Evaluation of Higher Education System.- Defense Mechanisms against Audio Adversarial Attacks: Recent Advances and Future Directions.- An Empirical Study of Worldwide Plastic Waste Mitigation.- Prediction for Surface Subsidence of Shield Construction in Water-Rich Sand Egg Stratum Based on Edge Intelligence.- Highly Accurate Dynamic Gesture Recognition Method Based on Edge Intelligence.- Distributed computing in IOT.- Edge Intelligence Based Garbage Classification Detection Method.- Adversarial Example Attacks in Internet of Things (IoT).- Training Node Screening in Decentralized Trusted Federated Learning.- Exploration and Practice of Course Homework Metaverse Based on Extended Reality under Edge Computing.- Federated Learning Based User Scheduling for Real-Time Multimedia Tasks in EdgeDevices.- A Co-caching Strategy for Edges Based on Federated Learning and Regional Prevalence.- LSTM-DAM: Malicious Network Traffic Prediction for Cloud Manufacturing System....

        Sommaire:
        Models and methods for data management in IoT.- Forecasting the Temperature of BEV Battery Pack based on Field Testing Data.- The Data Exchange Protocol over Multi-chain BlockchainUsing Zero-knowledge Proof.- A Hybrid Task Offloading and Service Cache Scheme for Vehicular Edge Computing.- On Enhancing Transmission Performance for IoV Based on Improved Greedy Algorithm.- Precise Segmentation on Poly-Yolo, YoloV5 and FCN.- Adaptive approaches to manage energy consumption and security of systems.- Research on DAG Based Consensus Mechanism for Adjustable Load Metering Data.-  A Detection and Information Processing Model based on an Automatic Mechanism for Tax Payment Control in Developing Countries.- IEC-FOF: An Industrial Electricity Consumption Forecasting and Optimization Framework.- Demons Hidden in the Light: Unrestricted Adversarial Illumination Attacks.- Edge Intelligence Based Garbage Classification Detection Method.- Mobile computing in wireless networks.- Evaluation of Higher Education System.- Defense Mechanisms against Audio Adversarial Attacks: Recent Advances and Future Directions.- An Empirical Study of Worldwide Plastic Waste Mitigation.- Prediction for Surface Subsidence of Shield Construction in Water-Rich Sand Egg Stratum Based on Edge Intelligence.-  Highly Accurate Dynamic Gesture Recognition Method Based on Edge Intelligence.- Distributed computing in IOT.- Edge Intelligence Based Garbage Classification Detection Method.- Adversarial Example Attacks in Internet of Things (IoT).- Training Node Screening in Decentralized Trusted Federated Learning.-  Exploration and Practice of Course Homework Metaverse Based on Extended Reality under Edge Computing.- Federated Learning Based User Scheduling for Real-Time Multimedia Tasks in EdgeDevices.- A Co-caching Strategy for Edges Based on Federated Learning and Regional Prevalence.- LSTM-DAM: Malicious Network Traffic Prediction for Cloud Manufacturing System.

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