id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-6738	Kermezli, Tayeb ; Announ, Mohamed ; Boukrida, Aboubakr ; Douani, Mustapha 	Prediction by artificial neural network of insulation performance of eco-treated cork stoppers: Experimental measurement, modeling and optimization	2025	12	.pdf	application/pdf	4756	218	41	Abstract: This study aims to predict by artificial neural networks (ANN) the improvement in mass insulation of cork stoppers treated by high temperature thermal (HTT) and/or boiling. Introduction The study of fluid flow in heterogeneous and anisotropic porous media, such as cork stoppers, highlights the importance of material management and selection for insulation purposes [1-3].	cache/easat-6738.pdf	txt/easat-6738.txt