id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
gssr-1043	Tanchangya, Tipon; Raihan, Asif; Rahman, Junaid; Ridwan, Mohammad	A Review of Deep Learning Applications for Sustainable Water Resource Management	2024	26	.pdf	application/pdf	12126	793	43	To address data limitations in real-world DL applications for water management, essential strategies encompass: augmenting data collection via sophisticated sensor technology, applying data imputation techniques to address gaps, utilizing semi-supervised or unsupervised learning approaches in the absence of labeled data, harnessing transfer learning to adapt models across diverse water systems, and integrating domain expertise to develop more resilient and pertinent models; all while addressing the specific challenges of data quality, spatiotemporal variability, and restricted accessibility in water management systems. Security DL networks utilize a substantial volume of data to train water management systems.	cache/gssr-1043.pdf	txt/gssr-1043.txt
