id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-12256	Wang, Liang; Ding, Ke	Ancient Architectural Damage Recognition Based on AlexNet and Transfer Learning	2023	3	.pdf	application/pdf	2069	108	35	China Abstract: Due to the need for a large dataset to train image recognition using convolutional neural networks, obtaining accurately categorized images of ancient architectural structure damage poses certain challenges. To improve the recognition accuracy of damage in ancient architectural structures, we have enhanced the Vgg-16 network by combining transfer learning techniques with convolutional neural networks.	cache/ajst-12256.pdf	txt/ajst-12256.txt