id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-2747	Shalu Verma	Towards Improved Biometric Security: EEG-Based Person Identification Enhanced by Deep Learning and Facial Recognition	2024	15	.pdf	application/pdf	5959	361	49	During the training process, EEG data from electrodes ranging from 4, 16, 32, to 64 were input into the network. In 2022, Alyasseri Z [19] introduced a methodology that integrates the Gray Wolf Optimizer (BGWO) with a Support Vector Machine classifier employing a Radial Basis Function kernel (SVM-RBF) for biometric human identification utilizing EEG data.	cache/cana-2747.pdf	txt/cana-2747.txt