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ORCIDMohammad Zounemat-Kermani
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Journal Articles
- 2024
[j20]Alireza Ghaemi, Seyed Arman Hashemi Monfared, Abdolhamid Bahrpeyma, Peyman Mahmoudi, Mohammad Zounemat-Kermani:
Exploitation of the ensemble-based machine learning strategies to elevate the precision of CORDEX regional simulations in precipitation projection. Earth Sci. Informatics 17(2): 1373-1392 (2024)- [j19]Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Özgür Kisi, Mohammad Zounemat-Kermani
:
Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge-Kutta with Aquila Optimizer. Int. J. Comput. Intell. Syst. 17(1): 293 (2024) - 2023
- [j18]Atefeh Moghbeli, Mohammad Bagher Rahnama, Nasrin Sayari, Mohammad Zounemat-Kermani:
Numerical study on the performance of circular juvenile fish breeding ponds. Comput. Electron. Agric. 213: 108206 (2023) - [j17]Salim Heddam, Khaled Merabet, Salah Difi, Sungwon Kim, Mariusz Ptak, Mariusz Sojka, Mohammad Zounemat-Kermani, Özgür Kisi:
River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT. Ecol. Informatics 78: 102376 (2023) - 2022
- [j16]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, Jasni Mohamad Zain, Mayadah Waheed Falah, Mehdi Jamei, Neeraj Dhanraj Bokde, Maryam Bayatvarkeshi, Mustafa Al-Mukhtar, Suraj Kumar Bhagat, Tiyasha Tiyasha, Khaled Mohamed Khedher, Nadhir Al-Ansari, Shamsuddin Shahid, Zaher Mundher Yaseen:
Groundwater level prediction using machine learning models: A comprehensive review. Neurocomputing 489: 271-308 (2022) - [j15]Amin Mahdavi Meymand, Mohammad Zounemat-Kermani:
Homonuclear Molecules Optimization (HMO) meta-heuristic algorithm. Knowl. Based Syst. 258: 110032 (2022) - 2021
- [j14]Meysam Alizamir, Sungwon Kim, Mohammad Zounemat-Kermani, Salim Heddam, Amin Hasanalipour Shahrabadi, Bahram Gharabaghi:
Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model. Artif. Intell. Rev. 54(4): 2863-2890 (2021) - [j13]Sareh Sayari, Amin Mahdavi Meymand, Mohammad Zounemat-Kermani:
Irrigation water infiltration modeling using machine learning. Comput. Electron. Agric. 180: 105921 (2021) - [j12]Mohammad Zounemat-Kermani, Amin Mahdavi Meymand, Reinhard Hinkelmann:
A comprehensive survey on conventional and modern neural networks: application to river flow forecasting. Earth Sci. Informatics 14(2): 893-911 (2021) - [j11]Rana Muhammad Adnan, Reham R. Mostafa, Özgür Kisi, Zaher Mundher Yaseen, Shamsuddin Shahid, Mohammad Zounemat-Kermani:
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization. Knowl. Based Syst. 230: 107379 (2021) - [j10]Mohammad Zounemat-Kermani, Amin Mahdavi Meymand, Reinhard Hinkelmann:
Nature-inspired algorithms in sanitary engineering: modelling sediment transport in sewer pipes. Soft Comput. 25(8): 6373-6390 (2021) - 2020
- [j9]Mohammad Zounemat-Kermani, Dietmar Stephan, Matthias Barjenbruch, Reinhard Hinkelmann:
Ensemble data mining modeling in corrosion of concrete sewer: A comparative study of network-based (MLPNN & RBFNN) and tree-based (RF, CHAID, & CART) models. Adv. Eng. Informatics 43: 101030 (2020) - [j8]Amin Mahdavi Meymand, Mohammad Zounemat-Kermani:
A new integrated model of the group method of data handling and the firefly algorithm (GMDH-FA): application to aeration modelling on spillways. Artif. Intell. Rev. 53(4): 2549-2569 (2020) - 2018
- [j7]Mohammad Zounemat-Kermani, Amin Mahdavi Meymand, Mina Ahmadipour:
Estimating incipient motion velocity of bed sediments using different data-driven methods. Appl. Soft Comput. 69: 165-176 (2018) - 2016
- [j6]Özgür Kisi, Onur Genc, Semih Dinç, Mohammad Zounemat-Kermani:
Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree. Comput. Electron. Agric. 122: 112-117 (2016) - 2015
- [j5]Özgür Kisi, Hadi Sanikhani, Mohammad Zounemat-Kermani, Faegheh Niazi:
Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data. Comput. Electron. Agric. 115: 66-77 (2015) - 2014
- [j4]Mohammad Zounemat-Kermani:
Principal Component Analysis (PCA) for estimating chlorophyll concentration using Forward and generalized Regression Neural Networks. Appl. Artif. Intell. 28(1): 16-29 (2014) - 2013
- [j3]Mohammad Zounemat-Kermani, Özgür Kisi, Taher Rajaee:
Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff. Appl. Soft Comput. 13(12): 4633-4644 (2013) - 2009
- [j2]Mohammad Zounemat-Kermani, Ali Asghar Beheshti Shirazi, Behzad Ataie-Ashtiani, Saeed-Reza Sabbagh-Yazdi:
Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system. Appl. Soft Comput. 9(2): 746-755 (2009) - 2008
- [j1]Mohammad Zounemat-Kermani, Mohammad Teshnehlab:
Using adaptive neuro-fuzzy inference system for hydrological time series prediction. Appl. Soft Comput. 8(2): 928-936 (2008)
Coauthor Index
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