An Active-Learning Framework for Efficient Training and Bias Mitigation in Probabilistic Forecasting of Water Pipeline Failures

dc.contributor.author	Behrooz, Hojat
dc.contributor.author	Ilbeigi, Mohammad
dc.date.accessioned	2026-08-20T11:59:05Z
dc.date.available	2026-08-20T11:59:05Z
dc.date.copyright	2025/08/05
dc.date.issued	2025
dc.identifier.other	JPCFEV.CFENG-5149.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4312934
dc.description.abstract	AbstractDespite recent advancements in forecasting models for water pipe failures, their implementation remains challenging in many urban environments due to data scarcity. Because water pipe breaks are irregular and intermittent events, existing ...
dc.publisher	American Society of Civil Engineers
dc.title	An Active-Learning Framework for Efficient Training and Bias Mitigation in Probabilistic Forecasting of Water Pipeline Failures
dc.type	Journal Article
dc.journal.volume	39
dc.journal.issue	5
dc.journal.title	Journal of Performance of Constructed Facilities
dc.identifier.doi	10.1061/JPCFEV.CFENG-5149
dc.journal.fristpage	04025050-1
dc.journal.lastpage	04025050-11
dc.page	11
dc.tree	Journal of Performance of Constructed Facilities:;2025:;Volume ( 039 ):;issue: 005
dc.contenttype	Fulltext