Modeling of wave run-up by applying integrated models of group method of data handling von Mahdavi-Meymand, Amin, Zounemat-Kermani, Mohammad, Sulisz, Wojciech, Silva, Rodolfo

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Study of biological quality of lake waters based on phycocyanin using tree‐based methodologies von Kheimi, Marwan, Almadani, Mohammad, Ramezani‐Charmahineh, Abdollah, Zounemat‐Kermani, Mohammad

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Bat algorithm optimised extreme learning machine (Bat‐ELM): A novel approach for daily river water temperature modelling von Heddam, Salim, Kim, Sungwon, Danandeh Mehr, Ali, Zounemat‐Kermani, Mohammad, Ptak, Mariusz, Elbeltagi, Ahmed, Malik, Anurag, Tikhamarine, Yazid

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Seasonal Short‐Term Prediction of Dissolved Oxygen in Rivers via Nature‐Inspired Algorithms von Fadaee, Marzieh, Mahdavi‐Meymand, Amin, Zounemat‐Kermani, Mohammad

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Comparison of improved relevance vector machines for streamflow predictions von Adnan, Rana Muhammad, Mostafa, Reham R, Dai, Hong‐Liang, Mansouri, Ehsan, Kisi, Ozgur, Zounemat‐Kermani, Mohammad

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Comprehensive assessment of 12 soft computing approaches for modelling reference evapotranspiration in humid locations von Shiri, Jalal, Zounemat‐Kermani, Mohammad, Kisi, Ozgur, Mohsenzadeh Karimi, Sahar

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Online sequential extreme learning machine in river water quality (turbidity) prediction: a comparative study on different data mining approaches von Zounemat‐Kermani, Mohammad, Alizamir, Meysam, Fadaee, Marzieh, Sankaran Namboothiri, Adarsh, Shiri, Jalal

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Hybrid meta-heuristics artificial intelligence models in simulating discharge passing the piano key weirs von Zounemat-Kermani, Mohammad, Mahdavi-Meymand, Amin

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Daily streamflow prediction using optimally pruned extreme learning machine von Adnan, Rana Muhammad, Liang, Zhongmin, Trajkovic, Slavisa, Zounemat-Kermani, Mohammad, Li, Binquan, Kisi, Ozgur

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Evaporation modelling using different machine learning techniques von Wang, Lunche, Kisi, Ozgur, Hu, Bo, Bilal, Muhammad, Zounemat‐Kermani, Mohammad, Li, Hui

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An artificial intelligence-based model for optimal conjunctive operation of surface and groundwater resources von Akbarifard, Saeid, Madadi, Mohamad Reza, Zounemat-Kermani, Mohammad

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Groundwater level prediction using machine learning models: A comprehensive review von Tao, Hai, Hameed, Mohammed Majeed, Marhoon, Haydar Abdulameer, Zounemat-Kermani, Mohammad, Heddam, Salim, Kim, Sungwon, Sulaiman, Sadeq Oleiwi, Tan, Mou Leong, Sa’adi, Zulfaqar, Mehr, Ali Danandeh, Allawi, Mohammed Falah, Abba, S.I., Zain, Jasni Mohamad, Falah, Mayadah W., Jamei, Mehdi, Bokde, Neeraj Dhanraj, Bayatvarkeshi, Maryam, Al-Mukhtar, Mustafa, Bhagat, Suraj Kumar, Tiyasha, Tiyasha, Khedher, Khaled Mohamed, Al-Ansari, Nadhir, Shahid, Shamsuddin, Yaseen, Zaher Mundher

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Prediction of solar radiation in China using different adaptive neuro‐fuzzy methods and M5 model tree von Wang, Lunche, Kisi, Ozgur, Zounemat‐Kermani, Mohammad, Zhu, Zhongmin, Gong, Wei, Niu, Zigeng, Liu, Hongfu, Liu, Zhengjia

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Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis von Mahdavi-Meymand, Amin, Sulisz, Wojciech, Zounemat-Kermani, Mohammad

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Stochastic (S[ARIMA]), shallow (NARnet, NAR-GMDH, OS-ELM), and deep learning (LSTM, Stacked-LSTM, CNN-GRU) models, application to river flow forecasting von Kheimi, Marwan, Almadani, Mohammad, Zounemat-Kermani, Mohammad

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Modeling reference evapotranspiration using a novel regression-based method: radial basis M5 model tree von Kisi, Ozgur, Keshtegar, Behrooz, Zounemat-Kermani, Mohammad, Heddam, Salim, Trung, Nguyen-Thoi

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Application of improved version of multi verse optimizer algorithm for modeling solar radiation von Ikram, Rana Muhammad Adnan, Dai, Hong-Liang, Ewees, Ahmed A., Shiri, Jalal, Kisi, Ozgur, Zounemat-Kermani, Mohammad

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Experimental study and numerical simulation of dam reservoir sediment release von Fadaee, Marzieh, Zounemat-Kermani, Mohammad

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A new integrated model of the group method of data handling and the firefly algorithm (GMDH-FA): application to aeration modelling on spillways von Mahdavi-Meymand, Amin, Zounemat-Kermani, Mohammad

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Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model von Alizamir, Meysam, Kim, Sungwon, Zounemat-Kermani, Mohammad, Heddam, Salim, Shahrabadi, Amin Hasanalipour, Gharabaghi, Bahram

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