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dc.contributor.authorXu, Guiyang
dc.contributor.authorFu, Shuai
dc.contributor.authorBai, Tangbo
dc.contributor.authorLiu, Xiaoya
dc.contributor.authorQi, Chentao
dc.contributor.authorFan, Yipeng
dc.date.accessioned2026-08-20T21:28:24Z
dc.date.available2026-08-20T21:28:24Z
dc.date.copyright2026/06/10
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-7325.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314512
dc.description.abstractAbstractThis paper addresses the low efficiency of manual inspection of railway bridge diseases by proposing the YOLO-OSE algorithm. Deployable on embedded platforms and designed to work with unmanned aerial vehicle (UAV)-captured images for real-time ...
dc.publisherAmerican Society of Civil Engineers
dc.titleReal-Time Railway Bridge Disease Detection Algorithm on Embedded Platforms
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue5
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-7325
dc.journal.fristpage04026074-1
dc.journal.lastpage04026074-16
dc.page16
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
dc.contenttypeFulltext


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