Прати
Houda Lamane
Houda Lamane
Laboratory of Process Engineering and Environment, University of Hassan II
Верификована је имејл адреса на etu.univh2c.ma
Наслов
Навело
Навело
Година
An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
A El Bilali, T Abdeslam, N Ayoub, H Lamane, MA Ezzaouini, A Elbeltagi
Journal of Environmental Management 327, 116890, 2023
1052023
A framework based on multivariate distribution-based virtual sample generation and DNN for predicting water quality with small data
A El Bilali, H Lamane, A Taleb, A Nafii
Journal of Cleaner Production 368, 133227, 2022
342022
Soil water erosion assessment in Morocco through modeling and fingerprinting applications: A review
H Lamane, R Moussadek, B Baghdad, L Mouhir, H Briak, M Laghlimi, ...
Heliyon 8 (8), 2022
282022
An approach based on multivariate distribution and Gaussian copulas to predict groundwater quality using DNN models in a data scarce environment
A Nafii, H Lamane, A Taleb, A El Bilali
MethodsX 10, 102034, 2023
82023
Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration
H Lamane, L Mouhir, R Moussadek, B Baghdad, O Kisi, A El Bilali
International Journal of Sediment Research 40 (1), 91-107, 2025
12025
Physics-informed machine learning algorithms for forecasting sediment yield: an analysis of physical consistency, sensitivity, and interpretability
A El Bilali, Y Brouziyne, O Attar, H Lamane, A Hadri, A Taleb
Environmental Science and Pollution Research 31 (34), 47237-47257, 2024
12024
Statistical analysis of a systematic review on soil water erosion assessment in Morocco
H Lamane, L Mouhir, R Moussadek, B Baghdad, H Briak, A Zouahri, ...
EGU General Assembly Conference Abstracts, EGU-9800, 2023
12023
Obstacles épistémologiques liés à l’enseignement de la géologie au cycle secondaire collégial marocain
A CHABLI, Y El Madhi, A Qarbous, MH Haimed, S Aitsi, O Amail, ...
Moroccan Journal of Quantitative and Qualitative Research 3 (1), 17-31, 2021
2021
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