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Crack Detection and Quantification of Rural Cement Concrete Pavements Based on Deep-Learning Fusion Model

dc.contributor.authorZhang, Xiaoyue
dc.contributor.authorWang, Meng
dc.contributor.authorLiu, Cheng
dc.contributor.authorXu, Huitong
dc.contributor.authorYang, Yanze
dc.date.accessioned2026-08-20T12:02:45Z
dc.date.available2026-08-20T12:02:45Z
dc.date.copyright2025/11/29
dc.date.issued2026
dc.identifier.otherJPEODX.PVENG-1969.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313020
dc.description.abstractAbstractIn order to meet the needs of engineering specifications for crack detection and quantitative assessment of rural cement concrete pavements, a method for accurate detection and quantification of cracks is proposed. A deep learning fusion model, ...
dc.publisherAmerican Society of Civil Engineers
dc.titleCrack Detection and Quantification of Rural Cement Concrete Pavements Based on Deep-Learning Fusion Model
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue1
dc.journal.titleJournal of Transportation Engineering, Part B: Pavements
dc.identifier.doi10.1061/JPEODX.PVENG-1969
dc.journal.fristpage04025062-1
dc.journal.lastpage04025062-11
dc.page11
dc.treeJournal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 001
dc.contenttypeFulltext


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