|
|||||
|
|
Improved weighted ensemble learning for predicting the daily reference evapotranspiration under the semi-arid climate conditions |
|
| Authors: | El-kenawy El-Sayed M Zerouali Bilel Bailek Nadjem Bouchouich Kada Hassan Muhammed A Almorox Javier Kuriqi Alban Eid Marwa Ibrahim Abdelhameed |
| Institution: | 1.Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansour, 35111, Egypt ;2.Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura, 35712, Egypt ;3.Vegetal Chemistry-Water-Energy Laboratory, Faculty of Civil Engineering and Architecture, Department of Hydraulic, Hassiba Benbouali University of Chlef, B.P. 78C, Ouled Fares, 02180, Chlef, Algeria ;4.Energies and Materials Research Laboratory, Department of Matter Sciences, Faculty of Sciences and Technology, University of Tamanghasset, Tamanghasset, Algeria ;5.Unité de Recherche en Energies Renouvelables en Milieu Saharien (URERMS), Centre de Développement Des Energies Renouvelables (CDER), 01000, Adrar, Algeria ;6.Mechanical Power Engineering Department, Faculty of Engineering, Cairo University, Giza, Giza, 12613, Egypt ;7.Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt ;8.CERIS, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal ;9.Civil Engineering Department, University for Business and Technology, Pristina, Kosovo ;10.Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt ; |
| Abstract: | Environmental Science and Pollution Research - Evapotranspiration is an important quantity required in many applications, such as hydrology and agricultural and irrigation planning. Reference... |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |