Interpretable Machine Learning and Uncertainty Quantification for Groundwater Pollution Assessment in an Arid Aquifer
Assessing groundwater pollution in arid regions remains challenging due to complex hydrogeochemical processes and the limited interpretability and uncertainty awareness of some predictive models. Effective groundwater quality assessment, therefore, requires models that combine accurate prediction wi...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2026-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/11482437/ |
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