Термоупругопластическое состояние тонкой круглой диэлектрической пластины при локальном нагреве нестационарным источником тепла

Demand for wind power has grown, and this has increased wind turbine blade (WTB) inspections and defect repairs. This paper empirically investigates the performance of state-of-the-art deep learning algorithms, namely, YOLOv3, YOLOv4, and Mask R-CNN for detecting and classifying defects by type. The... View More