Oct 2, 2020 · Integrating a promising reinforcement learning model named learning automata (LA) with confident information coverage (CIC) model, this article ...
To the best of our knowledge, this is the first study on how to combine the reinforcement learning mechanism with partial coverage for maximizing the network ...
In this work, we comprehensively focus on how to maxi- mize network lifetime of the IoT-based BSHM systems while guaranteeing network connectivity and partial ...
Apr 25, 2024 · Reinforcement-Learning-Enabled Partial Confident Information Coverage for IoT-Based Bridge Structural Health Monitoring. IEEE Internet Things J.
Reinforcement-Learning-Enabled Partial Confident Information Coverage for IoT-Based Bridge Structural Health Monitoring. Article. Oct 2020. Lingzhi ...
2013. Reinforcement-learning-enabled partial confident information coverage for IoT-based bridge structural health monitoring. L Yi, X Deng, LT Yang, H Wu, M ...
Reinforcement-learning-enabled partial confident information coverage for IoT-based bridge structural health monitoring. L Yi, X Deng, LT Yang, H Wu, M Wang, Y ...
将有希望的增强学习模型（LA）与可信信息覆盖（CIC）模型集成在一起，本文提出了一种基于IoT的BSHM系统中部分CIC覆盖的节能传感器调度策略，以确保网络覆盖并延长网络寿命 ...
This paper considers the coverage problem combined with node self-protection and proposes a cellular learning automata-based method.
Feb 22, 2024 · This research demonstrates how the EOSIO blockchain technology can be used to monitor the health of bridges.