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BSCS-Net: A Lightweight Segmentation Network for Automated Bridge Surface Crack Detection

dc.contributor.authorZhang, Allen A.
dc.contributor.authorWang, Dingfeng
dc.contributor.authorPeng, Yi
dc.contributor.authorCheng, Huixuan
dc.contributor.authorWei, Yifan
dc.contributor.authorZhan, You
dc.date.accessioned2026-08-20T21:28:07Z
dc.date.available2026-08-20T21:28:07Z
dc.date.copyright2026/01/23
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-7247.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314504
dc.description.abstractAbstractTimely detection and repair of cracks play a critical role in ensuring traffic safety during bridge operation and maintenance. This paper proposes a lightweight, end-to-end segmentation network named bridge surface crack segmentation network (BSCS-...
dc.publisherAmerican Society of Civil Engineers
dc.titleBSCS-Net: A Lightweight Segmentation Network for Automated Bridge Surface Crack Detection
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue3
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-7247
dc.journal.fristpage04026007-1
dc.journal.lastpage04026007-18
dc.page18
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003
dc.contenttypeFulltext


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