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dc.contributor.authorAziz, Angelina
dc.contributor.authorGard, Niklas
dc.contributor.authorKönig, Markus
dc.contributor.authorEisert, Peter
dc.contributor.authorHeinbach, Jan Hendrik
dc.contributor.authorTrost, Lukas
dc.date.accessioned2026-08-20T21:23:58Z
dc.date.available2026-08-20T21:23:58Z
dc.date.copyright2025/06/26
dc.date.issued2025
dc.identifier.otherJCCEE5.CPENG-6492.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314389
dc.description.abstractAbstractThe integration of building information modeling (BIM) and computer vision in fire safety inspections offers a promising avenue to enhance efficiency and accuracy. This study presents a proof of concept for a machine learning (ML)-based framework ...Practical ApplicationsEnsuring fire safety in buildings requires accurate and efficient inspections, yet traditional methods often rely on time-consuming manual processes. This research presents a new approach to automate fire safety inspections using ...
dc.publisherAmerican Society of Civil Engineers
dc.titleVisual Fire Safety Inspection Framework Using Computer Vision Algorithms
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue5
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6492
dc.journal.fristpage04025068-1
dc.journal.lastpage04025068-19
dc.page19
dc.treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005
dc.contenttypeFulltext


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