| dc.contributor.author | Hassan, Safeena | |
| dc.contributor.author | Samantaray, Sandeep | |
| dc.contributor.author | Annayat, Wajahat | |
| dc.contributor.author | Satapathy, Deba Prakash | |
| dc.date.accessioned | 2026-08-20T21:09:13Z | |
| dc.date.available | 2026-08-20T21:09:13Z | |
| dc.date.copyright | 2026/05/27 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | NHREFO.NHENG-2672.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314034 | |
| dc.description.abstract | AbstractFlood susceptibility assessment is critical for disaster risk reduction, particularly
in flood-prone areas like the Jhelum Basin. This study integrates machine learning
techniques, including random forest (RF), artificial neural networks (ANN), ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Flood Susceptibility Assessment in the Jhelum Basin Using Machine Learning and GIS Techniques | |
| dc.type | Journal Article | |
| dc.journal.volume | 27 | |
| dc.journal.issue | 3 | |
| dc.journal.title | Natural Hazards Review | |
| dc.identifier.doi | 10.1061/NHREFO.NHENG-2672 | |
| dc.journal.fristpage | 04026012-1 | |
| dc.journal.lastpage | 04026012-16 | |
| dc.page | 16 | |
| dc.tree | Natural Hazards Review:;2026:;Volume ( 027 ):;issue: 003 | |
| dc.contenttype | Fulltext | |
