most citedThe Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NI2024★ 1 cited

The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments

Jingyu Xu, Weixiang Wan, Linying Pan +2

In response to the demand for real-time performance and control quality in industrial Internet of Things (IoT) environments, this paper proposes an optimization control system base…

cond-mat.mes-hall2014

Integrated silicon optomechanical transducers and their application in atomic force microscopy

Jie Zou, Marcelo Davanco, Yuxiang Liu +3

This chapter describes the basic design, simulation, and fabrication for fully Si integrated, waveguide coupled, optomechanical force and displacement sensors. The approach of full…