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dc.contributor.authorBhatta, Sanjeev
dc.contributor.authorDang, Ji
dc.date.accessioned2026-08-20T21:07:12Z
dc.date.available2026-08-20T21:07:12Z
dc.date.copyright2025/06/14
dc.date.issued2025
dc.identifier.otherNHREFO.NHENG-2199.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313981
dc.description.abstractAbstractPeople live in a temporary shelter after an earthquake due to the unknown severity of the damage level of buildings. Recently, machine-learning-based rapid building damage classification after the earthquake has increased considering the ...
dc.publisherAmerican Society of Civil Engineers
dc.titlePostearthquake Damage Classification of Buildings Using a Recording of Low-Cost IoT Devices
dc.typeJournal Article
dc.journal.volume26
dc.journal.issue3
dc.journal.titleNatural Hazards Review
dc.identifier.doi10.1061/NHREFO.NHENG-2199
dc.journal.fristpage04025040-1
dc.journal.lastpage04025040-19
dc.page19
dc.treeNatural Hazards Review:;2025:;Volume ( 026 ):;issue: 003
dc.contenttypeFulltext


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