Advancements in computing power have recently made it possible to utilize machine
learning and deep learning to push scientific computing forward in a range of disciplines …

Steel, a critical material in construction, automobile, and railroad manufacturing industries,
often presents defects that can lead to equipment failure, significant safety risks, and costly …

The detection of lithium battery shell defects is an important aspect of lithium battery
production. The presence of pits, R-angle injuries, hard printing, and other defects on the …

The quality, wear and safety of metal structures can be controlled effectively, provided that
surface defects, which occur on metal structures, are detected at the right time. Over the past …

Facing the demand of the industry for metal surface detection, this article addresses the
segmentation of metal surface defects. Metal surface defect segmentation has many …

To improve the precision of defect categorization and localization in images, this paper
proposes an approach for detecting surface defects in hot-rolled steel strips. The approach …

Surface-defect detection is crucial for assuring the quality of strip-steel manufacturing. Strip-
steel surface-defect detection requires defect classification and precision localization, which …

In the production and manufacturing industry, factors such as rolling equipment and
processes may cause various defects on the surface of the steel plate, which greatly affect …

Computers and electrical engineering have made great strides in steel plate manufacturing.
Defect recognition techniques have also evolved. However, due to the large scale of defects …

Features of the defect class “scratches, attritions, lines”, their geometric structure, and their
causes are analyzed. An approach is developed that defines subclasses within this class of …