With the increasing popularity of deep learning, enterprises are replacing traditional
inefficient and non-robust defect detection methods with intelligent recognition technology …

To improve the accuracy of steel surface defect detection, an improved model of
multidirectional optimization based on the YOLOv8 algorithm was proposed in this study …

The quality control of steel products' surface is of utmost importance, where several
inspection techniques and technologies have been proposed over the last few years …

Magnetic flux leakage (MFL) detection is one of the most commonly used nondestructive
testing methods and plays a crucial role in ensuring pipeline safety during transportation …

Numerous industries utilize carbon fiber composites (CFC) for their exceptional strength-to-
weight ratio and stiffness. However, inherent manufacturing defects such as voids and …

During the manufacturing process, hot-rolled steel strip surface defects occur frequently.
These defects cause economic losses and risks in the use of these products. Therefore, it is …

The quality of the hot-rolled steel strips is essential, as they are involved in many industries,
including vehicle manufacturing, electrical machines, engines, and packaging, among …

Reconfiguration activities remain a significant challenge for automated Vision Inspection
Systems (VIS), which are characterized by hardware rigidity and time-consuming software …

The detection of minor defects on steel surfaces is an essential part of industrial production.
It helps reduce production costs, improve safety and compliance, and maintain sustainability …

Wafer defects are often complex, diverse, and frequently contaminated by noise, making
their recognition challenging for advancing semiconductor manufacturing processes …