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dc.contributor.authorAgyei Kyem, Blessing
dc.contributor.authorDenteh, Eugene
dc.contributor.authorAsamoah, Joshua Kofi
dc.contributor.authorTolliver, Denver
dc.contributor.authorAboah, Armstrong
dc.date.accessioned2026-08-20T12:02:41Z
dc.date.available2026-08-20T12:02:41Z
dc.date.copyright2026/02/09
dc.date.issued2026
dc.identifier.otherJPEODX.PVENG-1945.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313018
dc.description.abstractAbstractThis research introduces a multimodal framework for automated pavement condition assessment that provides pavement condition index (PCI) predictions and qualitative descriptions using a single-shot PCI estimation network and a fine-grained dense ...
dc.publisherAmerican Society of Civil Engineers
dc.titlePaveCap: A Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue2
dc.journal.titleJournal of Transportation Engineering, Part B: Pavements
dc.identifier.doi10.1061/JPEODX.PVENG-1945
dc.journal.fristpage04026010-1
dc.journal.lastpage04026010-17
dc.page17
dc.treeJournal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 002
dc.contenttypeFulltext


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