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- Leidėjas: Springer-Verlag GmbH
- Metai: 2025
- Puslapiai: 209
- ISBN-10: 3032005515
- ISBN-13: 9783032005519
- Formatas: 15.5 x 23.5 x 1.3 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
Machine Learning for Networking (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
.- 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.
EXTRA 15 % nuolaida su kodu: ENG15
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- Leidėjas: Springer-Verlag GmbH
- Metai: 2025
- Puslapiai: 209
- ISBN-10: 3032005515
- ISBN-13: 9783032005519
- Formatas: 15.5 x 23.5 x 1.3 cm, minkšti viršeliai
- Kalba: Anglų
.- 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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