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dc.contributor.authorYe, Lan
dc.contributor.authorLu, Shijun
dc.contributor.authorHu, Fengkuo
dc.contributor.authorFang, Qing
dc.contributor.authorZou, Tao
dc.contributor.authorMan, Xiaofeng
dc.contributor.authorZhang, Qinzhan
dc.date.accessioned2026-08-20T12:01:38Z
dc.date.available2026-08-20T12:01:38Z
dc.date.copyright2025/10/03
dc.date.issued2025
dc.identifier.otherJPEODX.PVENG-1815.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312993
dc.description.abstractAbstractA key challenge in road infrastructure assessment and maintenance pertains to the limited detection accuracy, high computational demands, complex model architectures, and restricted adaptability of existing algorithms for identifying pavement ...Practical ApplicationsTimely detection of road defects (such as cracks, potholes, and subsidence) is critical for ensuring road safety and reducing long-term maintenance costs. Traditional inspection methods, which rely on manual visual checks or basic ...
dc.publisherAmerican Society of Civil Engineers
dc.titleYOLOv8n-SBP: A Lightweight and Efficient Model for Pavement Distress Detection
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue4
dc.journal.titleJournal of Transportation Engineering, Part B: Pavements
dc.identifier.doi10.1061/JPEODX.PVENG-1815
dc.journal.fristpage04025048-1
dc.journal.lastpage04025048-12
dc.page12
dc.treeJournal of Transportation Engineering, Part B: Pavements:;2025:;Volume ( 151 ):;issue: 004
dc.contenttypeFulltext


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