The strip steel has been widely used in the manufacturing industry. Defects on the surface
are main factors to determine the quality of strip steel. Due to the various shapes of the …

The emergence of machine learning (ML) and deep learning (DL) techniques opens a huge
opportunity for their implementation in industry. One of the tasks for which these techniques …

A growing need exists for efficient and accurate methods for detecting defects in
semiconductor materials and devices. These defects can have a detrimental impact on the …

The manufacturing industry is evolving in line with the principles of Industry 4.0, with the aim
of achieving higher levels of automation and digitization. In particular, deep learning …

Wafer fabrication is a highly complex manufacturing system. Using complex network models
to portray the correlation between parameters is an effective tool for finding the key …

The industrial landscape is swiftly progressing towards Industry5. 0, marking the fifth
revolution characterized by the integration of sustainable practices and digital sovereignty …

With the advancement of deep learning technologies, industrial intelligent detection
algorithms are gradually being applied in practical steel surface defect detection …

Concerning the problem that wafer surface defects are easily confused with the background
and are difficult to detect, a new detection method for wafer surface defects based on …

The detection of defects using inspection systems is common in a wide range of
corporations such as semiconductor industries. The use of techniques based on deep …

Intelligence is key to advancing integrated circuit (IC) fabrication. Recent breakthroughs in
Large Multimodal Models (LMMs) have unlocked unparalleled abilities in understanding …