Using adaptive neuro-fuzzy inference system for hydrological time series prediction. - Mohammad Zounemat-Kermani; Mohammad Teshnehlab (Appl. Soft Comput., 2008)

Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system. - Mohammad Zounemat-Kermani; Ali Asghar Beheshti Shirazi; Behzad Ataie-Ashtiani; Saeed-Reza Sabbagh-Yazdi (Appl. Soft Comput., 2009)

Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff. - Mohammad Zounemat-Kermani; Özgür Kisi; Taher Rajaee (Appl. Soft Comput., 2013)

Principal Component Analysis (PCA) for estimating chlorophyll concentration using Forward and generalized Regression Neural Networks. - Mohammad Zounemat-Kermani (Appl. Artif. Intell., 2014)

Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data. - Özgür Kisi; Hadi Sanikhani; Mohammad Zounemat-Kermani; Faegheh Niazi (Comput. Electron. Agric., 2015)

Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree. - Özgür Kisi; Onur Genc; Semih Dinç; Mohammad Zounemat-Kermani (Comput. Electron. Agric., 2016)

Estimating incipient motion velocity of bed sediments using different data-driven methods. - Mohammad Zounemat-Kermani; Amin Mahdavi Meymand; Mina Ahmadipour (Appl. Soft Comput., 2018)

Ensemble data mining modeling in corrosion of concrete sewer: A comparative study of network-based (MLPNN & RBFNN) and tree-based (RF, CHAID, & CART) models. - Mohammad Zounemat-Kermani; Dietmar Stephan; Matthias Barjenbruch; Reinhard Hinkelmann (Adv. Eng. Informatics, 2020)

A new integrated model of the group method of data handling and the firefly algorithm (GMDH-FA): application to aeration modelling on spillways. - Amin Mahdavi Meymand; Mohammad Zounemat-Kermani (Artif. Intell. Rev., 2020)

Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model. - Meysam Alizamir; Sungwon Kim; Mohammad Zounemat-Kermani; Salim Heddam; Amin Hasanalipour Shahrabadi; Bahram Gharabaghi (Artif. Intell. Rev., 2021)

Irrigation water infiltration modeling using machine learning. - Sareh Sayari; Amin Mahdavi Meymand; Mohammad Zounemat-Kermani (Comput. Electron. Agric., 2021)

A comprehensive survey on conventional and modern neural networks: application to river flow forecasting. - Mohammad Zounemat-Kermani; Amin Mahdavi Meymand; Reinhard Hinkelmann (Earth Sci. Informatics, 2021)

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization. - Rana Muhammad Adnan; Reham R. Mostafa; Özgür Kisi; Zaher Mundher Yaseen; Shamsuddin Shahid; Mohammad Zounemat-Kermani (Knowl. Based Syst., 2021)

Nature-inspired algorithms in sanitary engineering: modelling sediment transport in sewer pipes. - Mohammad Zounemat-Kermani; Amin Mahdavi Meymand; Reinhard Hinkelmann (Soft Comput., 2021)

Groundwater level prediction using machine learning models: A comprehensive review. - Hai Tao; Mohammed Majeed Hameed; Haydar Abdulameer Marhoon; Mohammad Zounemat-Kermani; Salim Heddam; Sungwon Kim; Sadeq Oleiwi Sulaiman; Mou Leong Tan; Zulfaqar Sa'adi; Ali Danandeh Mehr; Mohammed Falah Allawi; Sani Isah Abba; et al. (Neurocomputing, 2022)

Homonuclear Molecules Optimization (HMO) meta-heuristic algorithm. - Amin Mahdavi Meymand; Mohammad Zounemat-Kermani (Knowl. Based Syst., 2022)

Numerical study on the performance of circular juvenile fish breeding ponds. - Atefeh Moghbeli; Mohammad Bagher Rahnama; Nasrin Sayari; Mohammad Zounemat-Kermani (Comput. Electron. Agric., 2023)

River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT. - Salim Heddam; Khaled Merabet; Salah Difi; Sungwon Kim; Mariusz Ptak; Mariusz Sojka; Mohammad Zounemat-Kermani; Özgür Kisi (Ecol. Informatics, 2023)

Exploitation of the ensemble-based machine learning strategies to elevate the precision of CORDEX regional simulations in precipitation projection. - Alireza Ghaemi; Seyed Arman Hashemi Monfared; Abdolhamid Bahrpeyma; Peyman Mahmoudi; Mohammad Zounemat-Kermani (Earth Sci. Informatics, 2024)

Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge-Kutta with Aquila Optimizer. - Rana Muhammad Adnan; Wang Mo; Ahmed A. Ewees; Salim Heddam; Özgür Kisi; Mohammad Zounemat-Kermani (Int. J. Comput. Intell. Syst., 2024)

Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP). - Khaled Merabet; Fabio Di Nunno; Francesco Granata; Sungwon Kim; Rana Muhammad Adnan; Salim Heddam; Özgür Kisi; Mohammad Zounemat-Kermani (Earth Sci. Informatics, 2025)