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dc.contributor.authorTang, Kexin
dc.contributor.authorShi, Wenzhong
dc.date.accessioned2026-08-20T21:26:35Z
dc.date.available2026-08-20T21:26:35Z
dc.date.copyright2026/03/19
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-6962.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314460
dc.description.abstractAbstractLabor shortages in the construction industry have limited traditional manual progress monitoring, driving the demand for automated solutions. While many automated systems leverage the scan-vs-building information modeling (BIM) method, their ...Practical ApplicationsTraditional methods of manual progress monitoring on construction sites are slow, costly, and prone to inaccuracies, leading to payment disputes and delays. This research proposes an automated framework to provide rapid, objective, ...
dc.publisherAmerican Society of Civil Engineers
dc.titleRandLA-Net-Assisted Scan-vs-BIM Framework with Adaptive Parameter Optimization for Construction Progress Monitoring
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue4
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6962
dc.journal.fristpage04026034-1
dc.journal.lastpage04026034-16
dc.page16
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004
dc.contenttypeFulltext


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