id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-4510	M. Santhiya, S. Karpagavalli	Integration of a Dual Hybrid Deep Convolutional Neural Network Framework for Insect Taxonomic Classification	2025	14	.pdf	application/pdf	5074	268	40	In this study, Xception model has demonstrates the accuracy 98.02% in order level, 94.57% in family level and 80.58% in species level insect image classification. These steps ensure that the images are prepared for efficient training, enabling the DCNN models to effectively learn features from the data and make accurate and reliable predictions for insect image classification.	cache/cana-4510.pdf	txt/cana-4510.txt