Software defect prediction and quality assurance are critical fields in modern software engineering that focus on identifying error-prone components early in the development cycle. By utilising ...

Advanced machine learning is beginning to make inroads into yield enhancement methodology as fabs and equipment makers seek to identify defectivity patterns in wafer images with greater accuracy and ...

Automated optical inspection (AOI) is a cornerstone in semiconductor manufacturing, assembly and testing facilities, and as such, it plays a crucial role in yield management and process control.

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

The PV industry has been playing a game of ‘whack a mole’ in tackling module defects over the past decade. Image: Kiwa PI Berlin. Solar modules manufactured in countries such as the United States, ...