With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI)
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …

This paper proposes a Cyber–Physical System (CPS) scheme to address the challenge of
developing self-improvement and online risk control for Electric Buses (E-Bus) in the …

This paper develops an approach to improve a CNC machine's tool performance and slow
down its degradation rate automatically in the Pre-Failure stage. A Deep Reinforcement …

This study addresses the need for advanced machine learning-based process monitoring in
smart manufacturing. A methodology is developed for near-real-time part quality prediction …

Classification is a common task in data mining that assigns a class label to an unseen
situation. It has been widely used in decision making for various applications, and many …

Bearings and cutting tools are the core components of CNC machine tools, due to their
complex working environment, high-speed requirements, and variable stress during daily …

Due to the excessive growth of technology, the demand of CNC machine become more
significant in the industries. This paper presents a review on variety of sensor used to …

In logical analysis of data, the feature selection step only considers selecting minimal
number of features after binarization. This paper develops a nonlinear set covering model …