Machine Learning for Networking, Kartoniert / Broschiert
Machine Learning for Networking
- 7th International Conference, MLN 2024, Reims, France, November 27-29, 2024, Revised Selected Papers
- Herausgeber:
- Fouchal Hacène, Boumerdassi Selma, Renault Éric
- Verlag:
- Springer, 10/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783032005519
- Artikelnummer:
- 12331722
- Umfang:
- 220 Seiten
- Gewicht:
- 341 g
- Maße:
- 235 x 155 mm
- Stärke:
- 13 mm
- Erscheinungstermin:
- 13.10.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
.- 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.