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contributor authorTang, Kexin
contributor authorShi, Wenzhong
date accessioned2026-08-20T21:26:35Z
date available2026-08-20T21:26:35Z
date copyright2026/03/19
date issued2026
identifier otherJCCEE5.CPENG-6962.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314460
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, ...
publisherAmerican Society of Civil Engineers
titleRandLA-Net-Assisted Scan-vs-BIM Framework with Adaptive Parameter Optimization for Construction Progress Monitoring
typeJournal Article
journal volume40
journal issue4
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-6962
journal fristpage04026034-1
journal lastpage04026034-16
page16
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004
contenttypeFulltext


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