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pro vyhledávání: '"Doudja Souag-Gamane"'
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Autor:
Farizul Nizam Abdullah, U. Dinesh Acharya, Mario J. Al Sayah, Nor Eliza Alias, Wafae Allaoui, Sheikh Hefzul Bari, M. Mehdi Bateni, Nazanin Behfar, Maroua Bouteffeha, Omar-Darío Cardona, Martha Liliana Carreño, Kironmala Chanda, Rim Cherif, Elisa Coraggio, Prabal Das, Khadija Diani, Hicham El Belrhiti, Saeid Eslamian, Said Ettazarini, Soheila Farzi, Emna Gargouri-Ellouze, Fatemeh Sohrabi Geshnigani, Hüseyin Gökçekuş, Mohammad Reza Golabi, AbdelAli Gourfi, Youssef Hahou, Dawei Han, Salim Heddam, Mohammad Jamali, T.R. Jayashree, José A. Junqueira Junior, Ozgur Kisi, Saravanan Kothadaraman, Mohan Kuppusamy, Taesam Lee, Anurag Malik, Vanessa A. Mantovani, Carlos R. Mello, José M. Mello, Kaoutar Mounir, Hessam Najafi, Vahid Nourani, Nardin Jabbarian Paknezhad, Dinagarapandi Pandi, Rasnavi Paramasivam, Saeideh Parvizi, N.V. Subba Reddy, André F. Rodrigues, Yaser Sabzevari, Fahreddin Sadikoglu, Saad Shauket Sammen, Daniel Schertzer, Elnaz Sharghi, Vijay P. Singh, Doudja Souag-Gamane, Marcela C.N.S. Terra, Yazid Tikhamarine, Theo Tryfonas, Ibrahim Khalil Umar, Pierre-Antoine Versini
Publikováno v:
Handbook of Hydroinformatics ISBN: 9780128219614
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfae743c54c4f15e171b37ac76c2e153
https://doi.org/10.1016/b978-0-12-821961-4.09992-9
https://doi.org/10.1016/b978-0-12-821961-4.09992-9
Autor:
Saad Shauket Sammen, Ozgur Kisi, Doudja Souag-Gamane, Yazid Tikhamarine, Anurag Malik, Priya Rai
Publikováno v:
Meteorology and Atmospheric Physics. 133:891-909
Drought is a complex natural phenomenon, so, precise prediction of drought is an effective mitigation tool for measuring the negative consequences on agriculture, ecosystems, hydrology, and water resources. The purpose of this research was to explore
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 34:1755-1773
Accurate and reliable prediction of streamflow is vital to the optimization of water resources management, reservoir flood operations, catchment, and urban water management. In this research, support vector regression (SVR) was optimized by six meta-
Publikováno v:
Environmental Science and Pollution Research. 27:30001-30019
Accurate estimation of reference evapotranspiration (ETo) is profoundly crucial in crop modeling, sustainable management, hydrological water simulation, and irrigation scheduling, since it accounts for more than two-thirds of global precipitation los
Publikováno v:
Hydrological Sciences Journal. 64:1824-1842
In this research, five hybrid novel machine learning approaches, artificial neural network (ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer (ANN-MVO), particle swarm optimizer (A...
Autor:
Amel Fouchal, Doudja Souag-Gamane
Publikováno v:
Acta Geophysica. 67:1223-1240
Long-term monthly streamflow forecasting has great importance in the water resource system planning. However, its modelling in extreme cases is difficult, especially in semiarid regions. The main purpose of this paper is to evaluate the accuracy of a
Autor:
Kevin O. Achieng, Jan F. Adamowski, Sheikh Hefzul Bari, Lu Chen, Nastaran Chitsaz, Ali Danandeh Mehr, Ravinesh C. Deo, Farshad Fathian, Salim Heddam, Md Manjurul Hussain, Saeid Janizadeh, V. Jothiprakash, Özgur Kişi, Anil Kumar, Andreas Langousis, Deepesh Machiwal, Ishtiak Mahmud, Arash Malekian, Anurag Malik, Georgia Papacharalampous, P.L. Patel, Mir Jafar Sadegh Safari, Priyank J. Sharma, Priyanka Sharma, Mohammad Istiyak Hossain Siddiquee, Vijay P. Singh, Doudja Souag-Gamane, Yazid Tikhamarine, Mukesh K. Tiwari, Hristos Tyralis, Mehdi Vafakhah
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3083baf3737b05fa52b548a185021f25
https://doi.org/10.1016/b978-0-12-820673-7.01002-7
https://doi.org/10.1016/b978-0-12-820673-7.01002-7
Accurate and reliable prediction of runoff from a catchment is vital for optimal planning and management of water resources. In this chapter, the development of four hybrid artificial intelligence (AI) models by embedding support vector regression (S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2ccb76bfaa056bd81376f9dc4340cc4
https://doi.org/10.1016/b978-0-12-820673-7.00009-3
https://doi.org/10.1016/b978-0-12-820673-7.00009-3
Autor:
Saad Shauket Sammen, Yazid Tikhamarine, Kusum Pandey, Salim Heddam, Doudja Souag-Gamane, Anurag Malik, Ozgur Kisi
Publikováno v:
Environmental monitoring and assessment. 192(11)
For effective planning of irrigation scheduling, water budgeting, crop simulation, and water resources management, the accurate estimation of reference evapotranspiration (ETo) is essential. In the current study, the hybrid support vector regression