Machine Learning for Networking

7th International Conference, MLN 2024, Reims, France, November 27-29, 2024, Revised Selected Papers

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Beschreibung

.- 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.

Artikeldetails

EAN

9783032005519

Sprache

Englisch

Einband / Art

Taschenbuch

Maße

235 x 155 x 13 mm

Erscheinungsjahr

2025

Verlag / Hersteller

Springer