Machine Learning for Networking
portes grátis
Machine Learning for Networking
5th International Conference, MLN 2022, Paris, France, November 28-30, 2022, Revised Selected Papers
Muehlethaler, Paul; Renault, Eric
Springer International Publishing AG
07/2023
180
Mole
Inglês
9783031361821
15 a 20 dias
Descrição não disponível.
Comparison of AI-based algorithms for low energy communication.- Development of an Intent-Based Network incorporating Machine Learning for service Assurance of E-commerce Online Stores.- Cyber-attack proactive defense using multivariate time series and machine learning with Fuzzy Inference-based Decision System.- iPerfOPS: a Tool for Machine Learning-Based Optimization through Protocol Selection.- GRAPHSEC -- Advancing the Application of AI/ML to Network Security through Graph Neural Networks.- Low Complexity Adaptive ML Approaches for End-to-End Latency Prediction.- TDMA-based MAC protocols designed or optimized using Artificial Intelligence for safety data dissemination in Vehicular ad-hoc network: A Survey.- A Machine Learning Based Approach to Detect Stealthy Cobalt Strike C\&C Activities from Encrypted Network Traffic.- Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents.- Deep Learning Based Camera Switching for Sports Broadcasting.- Phisherman: Phishing Link Scanner.- Leader-Assisted Client Selection for Federated Learning in Iot via the Cooperation of Nearby Devices.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning Approaches;Machine Learning Algorithms;Artificial Intelligence;Pattern Recognition;Classification for Networks;Network Slicing Optimization;5G Networks;Performance Analysis;Experimental Evaluation;Security;Intelligent Cloud Support Communications;Resource Allocation;Wireless Networks
Comparison of AI-based algorithms for low energy communication.- Development of an Intent-Based Network incorporating Machine Learning for service Assurance of E-commerce Online Stores.- Cyber-attack proactive defense using multivariate time series and machine learning with Fuzzy Inference-based Decision System.- iPerfOPS: a Tool for Machine Learning-Based Optimization through Protocol Selection.- GRAPHSEC -- Advancing the Application of AI/ML to Network Security through Graph Neural Networks.- Low Complexity Adaptive ML Approaches for End-to-End Latency Prediction.- TDMA-based MAC protocols designed or optimized using Artificial Intelligence for safety data dissemination in Vehicular ad-hoc network: A Survey.- A Machine Learning Based Approach to Detect Stealthy Cobalt Strike C\&C Activities from Encrypted Network Traffic.- Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents.- Deep Learning Based Camera Switching for Sports Broadcasting.- Phisherman: Phishing Link Scanner.- Leader-Assisted Client Selection for Federated Learning in Iot via the Cooperation of Nearby Devices.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning Approaches;Machine Learning Algorithms;Artificial Intelligence;Pattern Recognition;Classification for Networks;Network Slicing Optimization;5G Networks;Performance Analysis;Experimental Evaluation;Security;Intelligent Cloud Support Communications;Resource Allocation;Wireless Networks
