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Scalable and Accurate Crack Segmentation for Infrastructure Health Monitoring Using EfficientNetB0 and a Context-Aware Attention Mechanism

dc.contributor.authorZaheer, Qasim
dc.contributor.authorEhsan, Haleema
dc.contributor.authorWang, Jin
dc.contributor.authorShah, Syed Rehan
dc.contributor.authorAtta, Zunaira
dc.contributor.authorAi, Chengbo
dc.contributor.authorSajid, Abdul Hannan
dc.contributor.authorQiu, Shi
dc.date.accessioned2026-08-20T11:12:27Z
dc.date.available2026-08-20T11:12:27Z
dc.date.copyright2026/05/06
dc.date.issued2026
dc.identifier.otherJITSE4.ISENG-2911.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311844
dc.description.abstractAbstractIn response to the growing need for accurate and automated infrastructure assessment, this study introduces a novel crack segmentation framework that combines an EfficientNetB0 encoder with an enhanced U-Net decoder augmented by contextual ...
dc.publisherAmerican Society of Civil Engineers
dc.titleScalable and Accurate Crack Segmentation for Infrastructure Health Monitoring Using EfficientNetB0 and a Context-Aware Attention Mechanism
dc.typeJournal Article
dc.journal.volume32
dc.journal.issue3
dc.journal.titleJournal of Infrastructure Systems
dc.identifier.doi10.1061/JITSE4.ISENG-2911
dc.journal.fristpage04026009-1
dc.journal.lastpage04026009-13
dc.page13
dc.treeJournal of Infrastructure Systems:;2026:;Volume ( 032 ):;issue: 003
dc.contenttypeFulltext


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