The recent advances in artificial intelligence have already begun to penetrate our daily lives.
Even though the development is still in its infancy, it has been shown that it can outperform …

Electronics industry is one of the fastest evolving, innovative, and most competitive
industries. In order to meet the high consumption demands on electronics components …

With the booming of cyber attacks and cyber criminals against cyber-physical systems
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …

Abstract Machine vision based product inspection methods have been widely investigated to
improve product quality and reduce labour costs. Recent advancement in deep learning …

With the high demand and sub-nanometer design for integrated circuits, surface defect
complexity and frequency for semiconductor wafers have increased; subsequently …

As the integration density and design intricacy of semiconductor wafers increase, the
magnitude and complexity of defects in them are also on the rise. Since the manual …

Advancements in technology have made deep learning a hot research area, and we see its
applications in various fields. Its widespread use in silicon wafer defect recognition is …

Failure detection is employed in the industry to improve system performance and reduce
costs due to unexpected malfunction events. So, a good dataset of the system is desirable …

Wafer maps include information about multiple defect patterns on the wafer surface.
Intelligent categorization of the defective wafer is essential for investigating the underlying …

In a semiconductor manufacturing process, it is important to detect and classify defect
patterns in Wafer Bin Maps (WBMs) and identify the root cause of these defects for tight …