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dc.contributor.authorZaheer, Qasim
dc.contributor.authorShah, Syed Faizan Hussain
dc.contributor.authorShah, S. Muhammad Ahmed Hassan
dc.contributor.authorAi, Chengbo
dc.contributor.authorWang, Jin
dc.contributor.authorQiu, Shi
dc.date.accessioned2026-08-20T11:11:56Z
dc.date.available2026-08-20T11:11:56Z
dc.date.copyright2026/02/23
dc.date.issued2026
dc.identifier.otherJITSE4.ISENG-2759.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311832
dc.description.abstractAbstractStructural health monitoring (SHM) plays a pivotal role in ensuring infrastructure longevity and safety, with crack detection serving as a fundamental task in assessing structural integrity. This study presents a novel image processing framework ...
dc.publisherAmerican Society of Civil Engineers
dc.titleEfficient and Interpretable Image Processing Approach for Crack Segmentation
dc.typeJournal Article
dc.journal.volume32
dc.journal.issue2
dc.journal.titleJournal of Infrastructure Systems
dc.identifier.doi10.1061/JITSE4.ISENG-2759
dc.journal.fristpage04026003-1
dc.journal.lastpage04026003-18
dc.page18
dc.treeJournal of Infrastructure Systems:;2026:;Volume ( 032 ):;issue: 002
dc.contenttypeFulltext


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