Dynamic load identification plays an important role in structural health monitoring. However,
identifying load using accessible response in large structures is hindered by the difficulty of …

In the existing deep learning modeling process for material microstructure image segmentation,
the manual pixel labeling process is time-consuming and laborious. In order to achieve …

The snake-like robot needs to adapt to complex environment, in order to reach the target
point safely and collisionless, necessary obstacle avoidance strategy is of vital importance. In …

This article focuses on the cooperative control problem of a group of miniature mobile robots
in the environment with unknown obstacles. Each robot in the group has limited sensing …

Most failures in steel materials are due to fatigue damage, so it is of great significance to
analyze the key features of fatigue strength (FS) in order to improve fatigue performance. This …

As snake is one of the animals with the best obstacle performance in the nature, snake-like
robot with the movement mechanism and behavioral pattern of a biological snake has broad …

This study developed a machine learning model to accurately predict the isothermal
magnetic entropy change (-S M ) in amorphous alloys, a key parameter for evaluating …

A simple, efficient and practical obstacle avoidance strategy for miniature mobile robot in
the unknown environment is presented. In this paper, a series of virtual circles are …

The characteristics of the snake with a variety of motion patterns and multi-redundancy and
multi-degree of freedom make it have powerful motion ability and good environmental …

The prediction of the glass-forming ability (GFA) of metallic glasses (MGs) can accelerate the
efficiency of their development. In this paper, a dataset was constructed using experimental …