id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-1765	R. Kavitha	Research on Evaluation Model of Mobile Residential Space Based on Edge Intelligence	2024	17	.pdf	application/pdf	6737	338	49	Assistant Professor, Department of Computer Science and Engineering, A.V.C. College of Engineering, Mayiladuthurai, Tamilnadu. Email:ramyaphd2021@gmail.com Article History: Received: 04-08-2024 Revised: 10-09-2024 Accepted: 21-09-2024 Abstract: With the rapid rise in the population, the demand for mobile residential space design has also increased accordingly. 3.3 Prediction of mobile residential space design by Edge-Based Spatial Adaptive Graph Convolutional Neural Network (E-SAGCNN) E-SAGCNN is employed to generate efficient plan for mobile residential space design.	cache/cana-1765.pdf	txt/cana-1765.txt