Machine Learning-Based Prediction of Optimal Building-Level Flood Mitigation Strategies in At-Risk CommunitiesSource: Natural Hazards Review:;2025:;Volume ( 026 ):;issue: 004::page 04025044-1Author:Gupta, Himadri Sen
,
Nofal, Omar N.
,
González, Andrés D.
,
Nicholson, Charles D.
,
van de Lindt, John W.
DOI: 10.1061/NHREFO.NHENG-2330Publisher: American Society of Civil Engineers
Abstract: AbstractFlood-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 ...
|
Collections
Show full item record
| contributor author | Gupta, Himadri Sen | |
| contributor author | Nofal, Omar N. | |
| contributor author | González, Andrés D. | |
| contributor author | Nicholson, Charles D. | |
| contributor author | van de Lindt, John W. | |
| date accessioned | 2026-08-20T21:07:38Z | |
| date available | 2026-08-20T21:07:38Z | |
| date copyright | 2025/07/15 | |
| date issued | 2025 | |
| identifier other | NHREFO.NHENG-2330.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313993 | |
| description abstract | AbstractFlood-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 ... | |
| publisher | American Society of Civil Engineers | |
| title | Machine Learning-Based Prediction of Optimal Building-Level Flood Mitigation Strategies in At-Risk Communities | |
| type | Journal Article | |
| journal volume | 26 | |
| journal issue | 4 | |
| journal title | Natural Hazards Review | |
| identifier doi | 10.1061/NHREFO.NHENG-2330 | |
| journal fristpage | 04025044-1 | |
| journal lastpage | 04025044-20 | |
| page | 20 | |
| tree | Natural Hazards Review:;2025:;Volume ( 026 ):;issue: 004 | |
| contenttype | Fulltext |