The new generation of artificial intelligence (AI), called AI 2.0, has recently become a
research focus. Data‐driven AI 2.0 will accelerate the development of smart energy and …

The computer-vision-based surface defect detection of metal planar materials is a research
hotspot in the field of metallurgical industry. The high standard of planar surface quality in …

Accurate and timely short-term traffic flow prediction plays an important role in intelligent
transportation management and control. Traffic flow prediction has a long history and is still …

Short-term traffic flow prediction is one of the most important issues in the field of intelligent
transportation systems. It plays an important role in traffic information service and traffic …

Incineration has significant advantages in the harmless, reduction and recycling treatment of
municipal solid waste (MSW). Dioxins (DXN), a highly toxic and persistent pollutant that is a …

Deep reinforcement learning is a focus research area in artificial intelligence. The principle
of optimality in dynamic programming is a key to the success of reinforcement learning …

In this paper, we present a Robust Completed Local Binary Pattern (RCLBP) framework for a
surface defect detection task. Our approach uses a combination of Non-Local (NL) means …

This paper proposes a deep convolutional neural network (DCNN) based fractional-order
terminal sliding-mode (FOTSM) control strategy for tracking control of rigid robotic …

Wireless rechargeable sensor networks (WRSN) have been emerging as an effective
solution to the energy constraint problem of wireless sensor networks (WSN). However, most …

With the rapid development of sensor and computer technology, deep learning has received
extensive attention in the field of fault detection with powerful nonlinear feature extraction …