A Context-Aware Progressive Approach to Imputing Multivariate Heterogeneous Data in Water Pipe Networks

dc.contributor.author	Behrooz, Hojat
dc.contributor.author	Ilbeigi, Mohammad
dc.date.accessioned	2026-08-20T21:28:12Z
dc.date.available	2026-08-20T21:28:12Z
dc.date.copyright	2026/03/17
dc.date.issued	2026
dc.identifier.other	JCCEE5.CPENG-7278.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314506
dc.description.abstract	AbstractGiven the logistical and financial complications in routine inspection of water pipelines, data-driven forecasting models play a crucial role in prioritizing inspection and maintenance tasks for pipes with a higher probability of failure. These ...
dc.publisher	American Society of Civil Engineers
dc.title	A Context-Aware Progressive Approach to Imputing Multivariate Heterogeneous Data in Water Pipe Networks
dc.type	Journal Article
dc.journal.volume	40
dc.journal.issue	4
dc.journal.title	Journal of Computing in Civil Engineering
dc.identifier.doi	10.1061/JCCEE5.CPENG-7278
dc.journal.fristpage	04026030-1
dc.journal.lastpage	04026030-12
dc.page	12
dc.tree	Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004
dc.contenttype	Fulltext