The widespread application of artificial intelligence technology in various fields has made
the sustainable development of artificial intelligence courses an important direction in the …

Foreign objects intrusion into transmission lines can lead to serious troubles, using deep
learning technology for foreign object detection has good performance and can reduce …

Drug-drug interaction (DDI) is a significant public health issue that accounts for 30% of
unanticipated clinically hazardous medication events. The past decade has seen an …

A visualisation study of internal defects in structural steel was proposed using electrical
resistance tomography (ERT) method. Structural steel is a metallic dielectric with low …

With the aim of solving the problem of coal congestion caused by big coal blocks in
underground mine scraper conveyors, in this paper we proposed the use of a YOLO-BS …

Being sensitive to initial position and noise is the key problem that must be solved in point
cloud registration. To improve the overall performance of registration methods, a point cloud …

The intelligent adjustment method of the shearer drum is the key technology to improve the
intelligent level and safety degree of fully mechanized mining face. This paper proposes a …

Abstract We propose a Dual Attention model (DATP) for predicting the near-term trajectories
of road agents. Our model includes an interaction attention module and a trajectory attention …

In the driving process, the driver's visual attention area is of great significance to the
research of intelligent driving decision-making behavior and the dynamic research of driving …

The applicability of an image classification approach to detect large anomalous and
dangerous objects in a video stream was investigated for a safe opencast mining process …