Industrial products typically lack defects in smart manufacturing systems, which leads to an
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …

Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

In the past years, the computer vision domain has been profoundly changed by the advent of
deep learning algorithms and data science. The defect detection problem is of outmost …

This work aims to improve the low accuracy caused by interference information during real-
time weld surface detection. First, a weld surface dataset with 7580 pictures containing eight …

In the underground mining process, the evolution of fissures, fractures, and breakages in
overlying rock strata can lead to water inrush and many other serious risks, including rock …

X-ray image plays an important role in manufacturing industry for quality assurance,
because it can reflect the internal condition of weld region. However, the shape and scale of …

Automatic surgical instrument segmentation is a necessary step for the steady operation of
surgical robots, and the segmentation accuracy directly affects the surgical effect …

The reliability and accuracy of welding image recognition (WIR) is critical, which can largely
improve domain experts' insight of the welding system. To ensure its performance, deep …

As a unique physiological electrical signal in the human body, surface electromyography
(sEMG) signals always include human movement intention and muscle state. Through the …

Class imbalance (CI) is a well-known problem in data science. Nowadays, it is affecting the
data modeling of many of the real-world processes that are being digitized. The …