{"product_id":"machine-learning-for-networking-9783032005519","title":"Machine Learning for Networking","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- Learning per-flow SD-WAN load-balancing policies.\u003cbr\u003e.- Survey on Federated Learning in Smart Healthcare.\u003cbr\u003e.- Complex Communication Networks Management with Distributed AI:Challenges and Open Issues.\u003cbr\u003e.- A Framework for Global Trust and Reputation Management in 6G Networks.\u003cbr\u003e.- DRL Framework for Minimizing Beam Switching Time and Maintaining QoS in 6G-V2X Base Stations.\u003cbr\u003e.- Reducing BLE energy loss in busy 2.4GHz band.\u003cbr\u003e.- Leveraging SHAP to advance the Robustness of Large Language Models.\u003cbr\u003e.- Keyword-Driven Email Classification: Leveraging Machine Learning Techniques.\u003cbr\u003e.- Predicting Intents: ARMA-Based Modeling.\u003cbr\u003e.- Design and Evaluation of a Lightweight SDN Controller for Integrated Road and Rail Networks.\u003cbr\u003e.- PiPS: An effective strategy and approach for Privacy in Public Surveillance.\u003cbr\u003e.- A comprehensive review of deep learning approaches for tomato leaf diseases detection and classification in smart agriculture.\u003cbr\u003e.- A review on advancement in PEM Fuel cell Diagnosis based on Machine\u003cbr\u003elearning techniques.\u003cbr\u003e.- GPS Spoofing Attack against UAVs: a timeseries dataset case study.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":52091425194327,"sku":"9783032005519","price":134.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783032005519.jpg?v=1762274701","url":"https:\/\/bookcurl.com\/products\/machine-learning-for-networking-9783032005519","provider":"Book Curl","version":"1.0","type":"link"}