id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-852	Sorilla, Joses; Chu, Timothy Scott C.; Chua, Alvin Y.	A UAV Based Concrete Crack Detection and Segmentation Using 2-Stage Convolutional Network with Transfer Learning	2024	13	.pdf	application/pdf	7625	431	43	Utilizing AlexNet for classification and YOLOv4 for segmentation, the model achieved 91.5% classification accuracy and a recall rate of 94.2%, comparable to the 92% accuracy reported by YOLOv4 for crack detection applications. Abstract This study explores a non-destructive testing (NDT) method for crack detection using a two-stage convolutional neural network (CNN) model, incorporating a combination of AlexNet and YOLO models through transfer learning.	cache/hij-852.pdf	txt/hij-852.txt