id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fis-5090	Verezhak, Mikhail; Vshivkov, Aleksei; Gachegova, Elena; Bartolomei, Maria; Mayer, Alexander; Swaroop, Sathya	Application of deep learning for technological parameter optimization of laser shock peening of Ti-6Al-4V alloy	2024	12	.pdf	application/pdf	5605	322	51	The error in the quantitative calculation of surface stresses and residual layer penetration depth is much higher than for maximum residual stresses. For example, the authors of [9] applied this algorithm to predict the mechanical properties (roughness, microhardness and residual surface stresses) of stainless steel subjected to shot blasting.	cache/fis-5090.pdf	txt/fis-5090.txt