id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-32536	Yu, Mingze	Research on Parkinson's Disease Detection Based on Deep Residual Shrinkage Network	2025	12	.pdf	application/pdf	6022	282	38	During the threshold derivation stage of the Deep Residual Shrinking Network, this method employs both average pooling and max pooling to simultaneously extract multi-scale features of EEG signals and perform feature fusion, thereby further enhancing its diagnostic accuracy in real-world scenarios. [2] Jankovic J. Parkinson’s disease: clinical features and diagnosis[J].	cache/ajst-32536.pdf	txt/ajst-32536.txt