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dc.contributor.authorWong Chong, Oscar
dc.contributor.authorZhang, Jiansong
dc.date.accessioned2026-08-20T21:22:58Z
dc.date.available2026-08-20T21:22:58Z
dc.date.copyright2026/02/04
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-6258.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314368
dc.description.abstractAbstractThe current labor shortage is adversely impacting the construction industry. Automation and artificial intelligence (AI) have the potential to transform the architecture, engineering, and construction (AEC) industry into a smarter, safer, and more ...
dc.publisherAmerican Society of Civil Engineers
dc.titleLeveraging IFC-Based Locational Information for Work Package Generation to Support Analysis of Robot-Assisted Construction
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue3
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6258
dc.journal.fristpage04026019-1
dc.journal.lastpage04026019-20
dc.page20
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003
dc.contenttypeFulltext


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