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  • Broadband Communications, Networks, and Systems: 13th EAI International Conference, BROADNETS 2022, Virtual Event, March 12-13, 2023 Proceedings

    Broadband Communications, Networks, and Systems by Wang, Wei; Wu, Jun;

    13th EAI International Conference, BROADNETS 2022, Virtual Event, March 12-13, 2023 Proceedings

    Series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; 511;

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      • Publisher's listprice EUR 69.54
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        28 841 Ft (27 468 Ft + 5% VAT)
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    Product details:

    • Edition number 1st ed. 2023
    • Publisher Springer Nature Switzerland
    • Date of Publication 30 July 2023
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031404665
    • Binding Paperback
    • No. of pages153 pages
    • Size 235x155 mm
    • Weight 267 g
    • Language English
    • Illustrations XII, 153 p. 39 illus., 31 illus. in color. Illustrations, black & white
    • 483

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    Long description:

    This book constitutes the refereed post-conference proceedings of the 13th EAI International Conference on Broadband Communications, Networks, and Systems, Broadnets 2022, which took place in March 2023. Due to COVID-19 pandemic the conference was held virtually.


    The 9 full papers presented were carefully reviewed and selected from 23 submissions. The papers are thematically grouped as follows: Mobile Communication Networks; Mobile Software Security; and Algorithm, Model and Application. The scope of this conference is the 5G-enabled digital society.

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    Table of Contents:

    Mobile Communication Networks.- A new approach for measuring delay in 5G cellular networks.- Improving the Efficiency of WebRTC Layered Simulcast Using Software Defined Networking.- Mobile Software Security.- Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense against Metamorphic Ransomware Swarm Attack.- Android Malware Detection based on Static Analysis and Data Mining Techniques: A Systematic Literature Review.- MalEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection.- Algorithm, Model and Application.- BCTM: A Topic Modeling Method Based on External information.- An Empirical Study on Model Pruning and Quantization.- Client Selection Based on Diversity Scaling for Federated Learning on Non-IID Data.- A modern platform for social governance.

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