id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-5899	KIM, Woo-Seong ; KIM, Hyun-Jung 	Bi-LSTM-XGBoost ensemble-based intrusion detection system: Addressing data imbalance and enhancing minority class performance	2025	7	.pdf	application/pdf	2497	167	50	[6] targeted IoT network environments using ensemble models but demonstrated suboptimal performance for R2L and U2R attack types Rohini, et al. Keywords: Bi-LSTM, XGBoost, Ensemble Model, Intrusion Detection System, Minority Class Detection.	cache/easat-5899.pdf	txt/easat-5899.txt