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2022 | 2 |
2023 | 2 |
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An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation.
J Environ Manage. 2023 Feb 1;327:116890. doi: 10.1016/j.jenvman.2022.116890. Epub 2022 Nov 29.
J Environ Manage. 2023.
PMID: 36459782
Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling.
El Bilali A, Moukhliss M, Taleb A, Nafii A, Alabjah B, Brouziyne Y, Mazigh N, Teznine K, Mhamed M.
El Bilali A, et al. Among authors: taleb a.
Environ Sci Pollut Res Int. 2022 Jul;29(31):47382-47398. doi: 10.1007/s11356-022-18559-7. Epub 2022 Feb 18.
Environ Sci Pollut Res Int. 2022.
PMID: 35181857
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An approach based on multivariate distribution and Gaussian copulas to predict groundwater quality using DNN models in a data scarce environment.
Nafii A, Lamane H, Taleb A, El Bilali A.
Nafii A, et al. Among authors: taleb a.
MethodsX. 2023 Feb 2;10:102034. doi: 10.1016/j.mex.2023.102034. eCollection 2023.
MethodsX. 2023.
PMID: 36865649
Free PMC article.
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