id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajema-5904	Musaddak, Mohammad	Abnormal Files Classification using Convolutional Neural Network CNN	2024	6	.htm	application/pdf	2682	152	48	On a dataset of malware images, a thorough examination and analysis of the suggested technique were conducted. Finding and identifying these impacted little areas is crucial to achieving a high degree of malware classification accuracy.	cache/ajema-5904.htm	txt/ajema-5904.txt