A Machine-learning-enabled Context-driven Control Mechanism for Software-defined Smart Home Networks
Author:
Publisher
MYU K.K.
Subject
General Materials Science,Instrumentation
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Optimizing optical network longevity via Q-learning-based routing protocol for energy efficiency and throughput enhancement;Optical and Quantum Electronics;2023-11-23
2. Improving Smart Home Safety with Face Recognition using Machine Learning (ML);2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS);2023-10-27
3. ASTPPO: A proximal policy optimization algorithm based on the attention mechanism and spatio–temporal correlation for routing optimization in software-defined networking;Peer-to-Peer Networking and Applications;2023-06-30
4. Improving Smart Home Safety with Face Recognition using Machine Learning;2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS);2023-02-09
5. A new way of Smart Home Security using ML Face Recognition;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16
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