Machine learning for networking = th...
International Conference on Machine Learning for Networking (2020 :)

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  • Machine learning for networking = third International Conference, MLN 2020, Paris, France, November 24-26, 2020 : revised selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Machine learning for networking/ edited by Eric Renault, Selma Boumerdassi, Paul Muhlethaler.
    其他題名: third International Conference, MLN 2020, Paris, France, November 24-26, 2020 : revised selected papers /
    其他題名: MLN 2020
    其他作者: Renault, Eric.
    團體作者: International Conference on Machine Learning for Networking
    出版者: Cham :Springer International Publishing : : 2021.,
    面頁冊數: xiii, 375 p. :ill., digital ;24 cm.
    內容註: Better anomaly detection for access attacks using deep bidirectional LSTMs -- Using Machine Learning to Quantify the Robustness of Network Controllability -- Configuration faults detection in IP Virtual Private Networks based on machine learning -- Improving Android malware detection through dimensionality reduction techniques -- A Regret Minimization Approach to Frameless Irregular Repetition Slotted Aloha -- Mobility based Genetic algorithm for Heterogeneous wireless networks -- Geographical Information based Clustering Algorithm for Internet of Vehicles -- Active Probing for Improved Machine-Learned Recognition of Network Traffic -- A Dynamic Time Warping and Deep Neural Network Ensemble for Online Signature Verification -- Performance evaluation of some Machine Learning algorithms for Security Intrusion Detection -- Three Quantum Machine Learning Approaches for Mobile User Indoor-Outdoor Detection -- Learning resource allocation algorithms for cellular networks -- Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning -- Deep Learning-Aided Spatial Multiplexing with Index Modulation -- A Self-Gated Activation Function SINSIG Based on the Sine Trigonometric for Neural Network Models -- Spectral Analysis for Automatic Speech Recognition and Enhancement -- Road sign Identification with Convolutional Neural Network using TensorFlow -- A Semi-Automated Approach for Identification of Trends in Android Ransomware Literature -- Towards Machine Learning in Distributed Array DBMS: Networking Considerations -- Deep Learning Environment Perception and Self-Tracking for Autonomous and Connected Vehicles -- Remote Sensing Scene Classification Based on Effective Feature Learning by Deep Residual Networks -- Identifying Device Types for Anomaly Detection in IoT -- A novel heuristic optimization algorithm for solving the Delay-Constrained Least-Cost problem -- Terms Extraction from Clustered Web Search Results.
    Contained By: Springer Nature eBook
    標題: Machine learning - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-030-70866-5
    ISBN: 9783030708665
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