id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-10682	Wan, Dajian; Abisado, Mideth	Hybrid CNN with transfer learning and MobileNetV2 for advanced multi-class PCB defect detection	2025	20	.pdf	application/pdf	8489	439	43	The phenomenon in Figure 5 indicates that it is difficult for the BP neural network to effectively learn the complex distribution of PCB defect features, and the classification results are very different. This flexibility is valuable in dynamic industrial environments where defect features may evolve, requiring adaptable and effective solutions	cache/easat-10682.pdf	txt/easat-10682.txt