CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Abstract: This study presents an advanced vehicle detection framework based on YOLOv11, the latest evolution of the YOLO family of object detectors. The model is tailored for real-time autonomous ...
Researchers at Digital University Kerala develop AI system for antenna fault detection, revolutionizing communication and aerospace industries.