Junjie Shao

TL;DR: In this article , a real-time health status prediction framework based on a multi-layer belief rule base with priority scheduling strategies for running gears is proposed, which can predict the health status of running gears with much accuracy in real time.

TL;DR: A performance evaluation method based on slow feature analysis and a hidden Markov model (SFA-HMM) for running gear systems of high-speed trains and the result shows that the proposed method can enhance evaluation performance.

TL;DR: This article focuses on the macro economic early warning based on support vector machines under multi-sensor data fusion technology and concludes that this model has a good future in macroeconomic early warning.

TL;DR: In this article , the adaptive decision-making method of human-in-the-loop is introduced, where the agent continuously updates the decision making process through human feedback and can avoid static obstacles and dynamic obstacles in the environment, finally reach the target point.

TL;DR: Wang et al. as discussed by the authors proposed a deep Q-network based path optimization scheme for dynamic bus systems, which used deep neural networks to fit Q values end-to-end instead of the table storage approach in Q-Learning.