A5023684776- Traffic Prediction and Management Techniques
- Smart Parking Systems Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Vehicle License Plate Recognition
- Diabetes Management and Research
- Data Management and Algorithms
- Transportation and Mobility Innovations
- Vehicular Ad Hoc Networks (VANETs)
- Traffic control and management
- Advanced materials and composites
- High Entropy Alloys Studies
- Additive Manufacturing Materials and Processes
- Diabetes Management and Education
Hubei Provincial Center for Disease Control and Prevention
2024
Union Hospital
2024
Huazhong University of Science and Technology
2024
Tianjin University of Technology
2019-2021
This paper proposes and designs a best path selection algorithm, which can solve the problem of planning for intelligent driving vehicles in case restricted driving, traffic congestions accidents. We tried to under these emergency situations planing process there's no driver vehicle. designed new method with length priority based on prior knowledge applied reinforcement learning strategy, improved search direction setting A* shortest algorithm program. effectively help different types select...
Purpose To solve the path planning problem of intelligent driving vehicular, this paper designs a hybrid algorithm based on optimized reinforcement learning (RL) and improved particle swarm optimization (PSO). Design/methodology/approach First, authors hyper-parameters RL to make it converge quickly learn more efficiently. Then designed pre-set operation for PSO reduce calculation invalid particles. Finally, proposed correction variable that can be obtained from cumulative reward RL; revises...
Objective Insulin plays a central role in the regulation of energy and glucose homeostasis, insulin resistance (IR) is widely considered as “common soil” cluster cardiometabolic disorders. Assessment sensitivity very important preventing treating IR-related disease. This study aims to develop validate machine learning (ML)-augmented algorithms for assessment community primary care settings. Methods We analyzed data 9358 participants over 40 years old who participated population-based cohort...