One of the focal points in industrial product defect detection lies in the utilization of deep
learning-based object detection algorithms. With the continuous introduction of these …

The active contour model (ACM) plays a paramount part in grasping visual properties of
images and exacting targets of interest. It is overwhelming hardship for traditional ACMs to …

Rapid and accurate target detection is one of the inevitable requirements of intelligent
construction site. To meet the speed requirements and improve detection accuracy, an …

Accurate prediction of remaining useful life (RUL) of equipment has become an essential
task in manufacturing. It not only helps prevent unexpected failures but also enables …

This paper employs a deep reinforcement learning algorithm named Twin Delayed Deep
Deterministic algorithm into autonomous navigation in intelligent transportation systems. It …

A novel constrained optimization-oriented exponential-polynomial-closure (CO-EPC)
method is developed to investigate the ship roll-motion with non-smooth damping and …

Artificial neural network models are able to achieve great performance at numerous
computationally challenging tasks like face recognition. It is of significant importance to …

Industrial defect detection is crucial for enhancing product quality. The diverse nature of
industrial scenarios has posed challenges for developing a unified defect detection model …

Dependency between the conventional imbalance diagnostic feature and the shaft rotational
speed makes imbalance diagnosis challenging for variable-speed machines. This paper …

As an important driving device, the permanent magnet synchronous motor (PMSM) plays a
critical role in modern industrial fields. Given the harsh working environment, research into …