Description

Book Synopsis

.- Learning per-flow SD-WAN load-balancing policies.
.- Survey on Federated Learning in Smart Healthcare.
.- Complex Communication Networks Management with Distributed AI:Challenges and Open Issues.
.- A Framework for Global Trust and Reputation Management in 6G Networks.
.- DRL Framework for Minimizing Beam Switching Time and Maintaining QoS in 6G-V2X Base Stations.
.- Reducing BLE energy loss in busy 2.4GHz band.
.- Leveraging SHAP to advance the Robustness of Large Language Models.
.- Keyword-Driven Email Classification: Leveraging Machine Learning Techniques.
.- Predicting Intents: ARMA-Based Modeling.
.- Design and Evaluation of a Lightweight SDN Controller for Integrated Road and Rail Networks.
.- PiPS: An effective strategy and approach for Privacy in Public Surveillance.
.- A comprehensive review of deep learning approaches for tomato leaf diseases detection and classification in smart agriculture.
.- A review on advancement in PEM Fuel cell Diagnosis based on Machine
learning techniques.
.- GPS Spoofing Attack against UAVs: a timeseries dataset case study.

Machine Learning for Networking

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    £134.99

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    RRP £149.99 – you save £15.00 (10%)

    Order before 4pm tomorrow for delivery by Thu 2 Jul 2026.

    A Paperback by Fouchal Hacène

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      Publisher: Springer
      Publication Date: 9/4/2025
      ISBN13: 9783032005519, 978-3032005519
      ISBN10: 3032005515
      Also in:
      Data mining

      Description

      Book Synopsis

      .- Learning per-flow SD-WAN load-balancing policies.
      .- Survey on Federated Learning in Smart Healthcare.
      .- Complex Communication Networks Management with Distributed AI:Challenges and Open Issues.
      .- A Framework for Global Trust and Reputation Management in 6G Networks.
      .- DRL Framework for Minimizing Beam Switching Time and Maintaining QoS in 6G-V2X Base Stations.
      .- Reducing BLE energy loss in busy 2.4GHz band.
      .- Leveraging SHAP to advance the Robustness of Large Language Models.
      .- Keyword-Driven Email Classification: Leveraging Machine Learning Techniques.
      .- Predicting Intents: ARMA-Based Modeling.
      .- Design and Evaluation of a Lightweight SDN Controller for Integrated Road and Rail Networks.
      .- PiPS: An effective strategy and approach for Privacy in Public Surveillance.
      .- A comprehensive review of deep learning approaches for tomato leaf diseases detection and classification in smart agriculture.
      .- A review on advancement in PEM Fuel cell Diagnosis based on Machine
      learning techniques.
      .- GPS Spoofing Attack against UAVs: a timeseries dataset case study.

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