Search Results for author:
Found 4 papers, 0 papers with code
Automatic driving lane change safety prediction model based on LSTM
Autonomous driving technology can improve traffic safety and reduce traffic accidents.
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments
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 based on deep reinforcement learning and edge computing.
Application of Machine Learning Optimization in Cloud Computing Resource Scheduling and Management
Each user requests the cloud computing center to use a certain number of cloud resources at a specific time.
Progress in artificial intelligence applications based on the combination of self-driven sensors and deep learning
In the era of Internet of Things, how to develop a smart sensor system with sustainable power supply, easy deployment and flexible use has become a difficult problem to be solved.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
