Researchers in Norway have created a PV module fault diagnosis technique based on a stacking algorithm. It utilizes augmented digital images of PV modules collected by unmanned aerial vehicles and is ...

A group of researchers led by the University of Sharjah in the UAE proposed to use the convolutional neural network (CNN) technique to detect temperature and shading-induced faults in PV modules. CNN ...

The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and more accurate inspection method.