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Adnan, Rana Muhammad and Kisi, Ozgur and Mostafa, Reham R. and Ahmed, Ali Najah and Ahmed El-Shafie, Ahmed Hussein Kamel (2022) The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction. Hydrological Sciences Journal, 67 (2). pp. 161-174. ISSN 0262-6667, DOI https://doi.org/10.1080/02626667.2021.2012182.
Ali, Mohd Zaharifudin Muhamad and Othman, Faridah (2018) Raingauge network optimization in a tropical urban area by coupling cross-validation with the geostatistical technique. Hydrological Sciences Journal, 63 (3). pp. 474-491. ISSN 0262-6667, DOI https://doi.org/10.1080/02626667.2018.1437271.
Anees, Mohd Talha and Abu Bakar, Ahmad Farid and Khan, Mohammad Muqtada Ali and Syakir, Muhammad and Abdullah, K. and Nordin, Mohd Nawawi Mohd and Abdelrahman, Kamal and Eldosouky, Ahmed M. and Andras, Peter and Yahaya, Nasehir Khan Bin E. M. and Johar, Zubaidi and Omar, Fatehah Mohd and Kadir, Mohd Omar Abdul (2022) An alternative approach to estimate river cross-sections using LIDAR-based digital elevation model. Hydrological Sciences Journal, 67 (6). pp. 996-1010. ISSN 0262-6667, DOI https://doi.org/10.1080/02626667.2022.2053129.
Rezaie-Balf, Mohammad and Naganna, Sujay Raghavendra and Kisi, Ozgur and El-Shafie, Ahmed (2019) Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam. Hydrological Sciences Journal, 64 (13). pp. 1629-1646. ISSN 0262-6667, DOI https://doi.org/10.1080/02626667.2019.1661417.
