id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-3717	Uppalaiah, Bandu; Reddy, D. Mallikarjuna ; Govindan, Vediyappan ; Byeon, Haewon 	Optimizing quality of service forecasting in mobile networks through modified walrus optimization and multivariate approaches	2024	24	.pdf	application/pdf	8240	468	45	EAQP utilizes a variety of prediction models such as support vector regression, recurrent neural network models, bi-directional short-term long-term memory networks, extreme learning machines, along with multi-layer perceptron neural networks to enhance predictive accuracy. The integration of multivariate forecasting techniques allows for the consideration of multiple input variables, such as network traffic data, user mobility patterns, and environmental factors, in predicting QoS metrics.	cache/easat-3717.pdf	txt/easat-3717.txt