id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3756	Ponukumati Jyothi	Human Gender Identification from Facial Images: A Deep Learning Approach	2025	9	.pdf	application/pdf	3057	186	45	[10] J. Park, S. Kim, and M. Lee, Transformer-CNN hybrid architecture for facial gender recognition, IEEE Access, vol. 9, pp. Keywords: Gender Recognition, Deep Learning, EfficientNetB2, CNN-LSTM, MobileNetV2, Facial Analysis, Computer Vision, Pattern Recognition Introduction In computer vision, gender recognition from facial images is an important task which has a wide scope of applications in different fields such as security systems, human-computer interaction, demographic analysis, and personalized content recommendations.	cache/cana-3756.pdf	txt/cana-3756.txt