id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-6024	Isha Katariya	Deep Learning for Real-Time Crack Detection in Concrete Using Electromagnetic Imaging	2024	16	.pdf	application/pdf	5097	265	46	Deep learning models have seen massive successes in image classification, segmentation, anomaly detection tasks in multiple spheres. Convolutional neural networks (CNNs) have grown to be an effective way of automating the process of detecting the crack with the application of deep learning models.	cache/cana-6024.pdf	txt/cana-6024.txt