An enhanced steel surface defect detection algorithm based on YOLOv8 was introduced to
enhance the accuracy of small target detection. This algorithm incorporates an attention-free …

Steel is the essential component in various arias such as construction and infrastructure,
mechanical and automotive items, metal goods, transportation, electrical devices, home …

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 …

Machine learning models are built to predict the strain values for which edge cracking
occurs in hole expansion tests. The samples from this test play the role of sheet metal …

Smart manufacturing is a process that optimizes factory performance and production quality
by utilizing various technologies including the Internet of Things (IoT) and artificial …

Online recognizing defects of the strip-steel surface on resource-constrained embedded
devices is a difficult problem. The traditional deep learning model with deep network layers …

A manufacturing process includes inspecting the product to verify it meets its quality
standards. Such steps, however, are time-consuming and, depending on the means, prone …

At present, the majority of deep learning approaches are unable to address the challenges
posed by the limited availability of the industrial product samples that are defect and the …

Steel has emerged as a vital component in various industries, ranging from small tools to
large-scale structures like ships and statues. With the increasing demand for steel, the steel …