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contributor authorGupta, Himadri Sen
contributor authorNofal, Omar N.
contributor authorGonzález, Andrés D.
contributor authorNicholson, Charles D.
contributor authorvan de Lindt, John W.
date accessioned2026-08-20T21:07:38Z
date available2026-08-20T21:07:38Z
date copyright2025/07/15
date issued2025
identifier otherNHREFO.NHENG-2330.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313993
description abstractAbstractFlood-prone communities face severe economic and structural losses, necessitating strategic building retrofitting to enhance resilience. However, selecting the most effective mitigation strategies remains challenging due to financial constraints ...
publisherAmerican Society of Civil Engineers
titleMachine Learning-Based Prediction of Optimal Building-Level Flood Mitigation Strategies in At-Risk Communities
typeJournal Article
journal volume26
journal issue4
journal titleNatural Hazards Review
identifier doi10.1061/NHREFO.NHENG-2330
journal fristpage04025044-1
journal lastpage04025044-20
page20
treeNatural Hazards Review:;2025:;Volume ( 026 ):;issue: 004
contenttypeFulltext


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