id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
brj-24722	Kılıç, Kenan	Categorization of Microscopic Wood Images with Transfer Learning Approach on Pretrained Vision Transformer Models	2025	13	.pdf	application/pdf	5621	315	50	The performances of ViT models were tested with different parameters. In this study, the 99.40% accuracy obtained with ViT models shows that ViT-based models offer superior success.	cache/brj-24722.pdf	txt/brj-24722.txt