id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fis-5022	Vavilov, Vladimir; Chulkov, Arsenii; Moskovchenko, Alexey	Enhancing Generalizability of a Machine Learning Model for Infrared Thermographic Defect Detection by Using 3D Numerical Modeling	2024	15	.pdf	application/pdf	9061	537	52	NUMERICAL SIMULATION n this study, the viability of training defect detection models by using IR thermographic data derived from numerical simulations will be assessed. The obtained 3D IR thermographic sequences were then transformed into 2D matrices of feature vectors for model training and testing purposes.	cache/fis-5022.pdf	txt/fis-5022.txt