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Mohammad Zounemat-Kermani
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2020 – today
- 2024
- [j19]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) - 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)
2010 – 2019
- 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)
2000 – 2009
- 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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