S. Krimissa

Assessing the performance of MCDM, statistical and machine learning ensemble models for gully sensitivity mapping in a semi-arid context

L. Bouchaou, J. Estrany, Mohamed Edahbi, 2022, Geocarto International.

Spatial Prediction of Groundwater Potentiality in Large Semi-Arid and Karstic Mountainous Region Using Machine Learning Models

B. Pradhan, A. Alamri, Chang-Wook Lee, 2021, Water.

Assessment of relative tectonic activity using morphotectonic analysis in the Central High Atlas, Demnate Region, Morocco

Abdenbi Elaloui, Hassan Ait naceur, M. Namous, 2021, Arabian Journal of Geosciences.

Heavy metal contamination and ecological-health risk evaluation in peri-urban wastewater-irrigated soils of Beni-Mellal city (Morocco)

A. Barakat, W. Ennaji, M. Bouzaid, 2020, International journal of environmental health research.

2H and 18O isotopic study of ground waters under a semi-arid climate.

M. Krimissa, J. Mudry, L. Bouchaou, 2005 .

Head-cut gully erosion susceptibility mapping in semi-arid region using machine learning methods: insight from the high atlas, Morocco

K. Abdelrahman, N. Badreldin, Abdenbi Elaloui, 2023, Frontiers in Earth Science.

Assessment of Soil Suitability Using Machine Learning in Arid and Semi-Arid Regions

M. Fnais, K. Abdelrahman, R. Lhissou, 2023, Agronomy.

Robustness of Optimized Decision Tree-Based Machine Learning Models to Map Gully Erosion Vulnerability

L. Bouchaou, Mohammed Hssaisoune, H. Reddad, 2023, Soil Systems.

Evaluating the effectiveness and robustness of machine learning models with varied geo-environmental factors for determining vulnerability to water flow-induced gully erosion

B. Pradhan, K. Abdelrahman, Abdenbi Elaloui, 2023, Frontiers in Environmental Science.