A Novel Rapid Visual Screening Score Sheet for Vulnerability Assessment of Low-to-Midrise Buildings Using Machine Learning Based on the 2015 Nepal Earthquake

dc.contributor.author	Nanda, Radhikesh Prasad
dc.contributor.author	Dwivedi, Jatin
dc.contributor.author	Butta, Premsagar
dc.contributor.author	Sarkhel, Sourav
dc.date.accessioned	2026-08-20T12:00:02Z
dc.date.available	2026-08-20T12:00:02Z
dc.date.copyright	2025/10/31
dc.date.issued	2026
dc.identifier.other	JPCFEV.CFENG-5287.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4312954
dc.description.abstract	AbstractRapid visual screening (RVS) is one of the quickest methods for assessing the seismic vulnerability of a large number of buildings. The conventional RVS developed by FEMA P-154 is employed to predict the damage that may occur in a building after ...
dc.publisher	American Society of Civil Engineers
dc.title	A Novel Rapid Visual Screening Score Sheet for Vulnerability Assessment of Low-to-Midrise Buildings Using Machine Learning Based on the 2015 Nepal Earthquake
dc.type	Journal Article
dc.journal.volume	40
dc.journal.issue	1
dc.journal.title	Journal of Performance of Constructed Facilities
dc.identifier.doi	10.1061/JPCFEV.CFENG-5287
dc.journal.fristpage	04025071-1
dc.journal.lastpage	04025071-14
dc.page	14
dc.tree	Journal of Performance of Constructed Facilities:;2026:;Volume ( 040 ):;issue: 001
dc.contenttype	Fulltext