Modeling the Onset of Drought Periods Using Explainable Machine Learning Models Enhanced by Bayesian OptimizationSource: Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 004::page 04025023-1Author:Alsumaiei, Abdullah A.
DOI: 10.1061/JHYEFF.HEENG-6515Publisher: American Society of Civil Engineers
Abstract: AbstractThis study develops an optimized machine learning-based computational framework for
assessing drought conditions in water-scarce regions. The pattern of drought periods
is highly non-linear, especially in arid climates, hindering water management ...
|
Collections
Show full item record
| contributor author | Alsumaiei, Abdullah A. | |
| date accessioned | 2026-08-20T11:06:10Z | |
| date available | 2026-08-20T11:06:10Z | |
| date copyright | 2025/06/13 | |
| date issued | 2025 | |
| identifier other | JHYEFF.HEENG-6515.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311694 | |
| description abstract | AbstractThis study develops an optimized machine learning-based computational framework for assessing drought conditions in water-scarce regions. The pattern of drought periods is highly non-linear, especially in arid climates, hindering water management ... | |
| publisher | American Society of Civil Engineers | |
| title | Modeling the Onset of Drought Periods Using Explainable Machine Learning Models Enhanced by Bayesian Optimization | |
| type | Journal Article | |
| journal volume | 30 | |
| journal issue | 4 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/JHYEFF.HEENG-6515 | |
| journal fristpage | 04025023-1 | |
| journal lastpage | 04025023-15 | |
| page | 15 | |
| tree | Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 004 | |
| contenttype | Fulltext |