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dc.contributor.authorKhosiin, Mik Wanul
dc.contributor.authorLin, Jacob J.
dc.contributor.authorSuryo, Eko Andi
dc.contributor.authorNegara, Kartika Puspa
dc.contributor.authorAknuranda, Ismiarta
dc.contributor.authorChen, Chuin-Shan
dc.date.accessioned2026-08-20T21:27:46Z
dc.date.available2026-08-20T21:27:46Z
dc.date.copyright2026/02/24
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-7157.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314493
dc.description.abstractAbstractEffectively monitoring worker accountability in construction project controls requires addressing the complex, dynamic interactions between workers and objects. However, existing human–object interaction (HOI) approaches are typically limited to ...Practical ApplicationsThis study presents two practical applications that directly support construction project controls. First, it leverages human–object interaction detection to monitor multiple worker–object interactions simultaneously, enabling ...
dc.publisherAmerican Society of Civil Engineers
dc.titleGraph-Based Human–Object Interaction Detection for Automated Worker Accountability Monitoring on Construction Sites
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue3
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-7157
dc.journal.fristpage04026025-1
dc.journal.lastpage04026025-16
dc.page16
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003
dc.contenttypeFulltext


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