Ouali, L.; Kabiri, L.; Namous, M.; Hssaisoune, M.; Abdelrahman, K.; Fnais, M.S.; Kabiri, H.; El Hafyani, M.; Oubaassine, H.; Arioua, A.;
et al. Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco. Sustainability 2023, 15, 3874.
https://doi.org/10.3390/su15053874
AMA Style
Ouali L, Kabiri L, Namous M, Hssaisoune M, Abdelrahman K, Fnais MS, Kabiri H, El Hafyani M, Oubaassine H, Arioua A,
et al. Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco. Sustainability. 2023; 15(5):3874.
https://doi.org/10.3390/su15053874
Chicago/Turabian Style
Ouali, Lamya, Lahcen Kabiri, Mustapha Namous, Mohammed Hssaisoune, Kamal Abdelrahman, Mohammed S. Fnais, Hichame Kabiri, Mohammed El Hafyani, Hassane Oubaassine, Abdelkrim Arioua,
and et al. 2023. "Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco" Sustainability 15, no. 5: 3874.
https://doi.org/10.3390/su15053874
APA Style
Ouali, L., Kabiri, L., Namous, M., Hssaisoune, M., Abdelrahman, K., Fnais, M. S., Kabiri, H., El Hafyani, M., Oubaassine, H., Arioua, A., & Bouchaou, L.
(2023). Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco. Sustainability, 15(5), 3874.
https://doi.org/10.3390/su15053874
