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Multi-objective Optimization of water resources in real time based on integration of NSGA-II and support vector machines.
Environ Sci Pollut Res Int. 2023 Feb;30(6):16464-16475. doi: 10.1007/s11356-022-22723-4. Epub 2022 Oct 3.
Environ Sci Pollut Res Int. 2023.
PMID: 36190637
Multi-objective optimization of quantitative-qualitative operation of water resources systems with approach of supplying environmental demands of Shadegan Wetland.
Goorani Z, Shabanlou S.
Goorani Z, et al. Among authors: shabanlou s.
J Environ Manage. 2021 Aug 15;292:112769. doi: 10.1016/j.jenvman.2021.112769. Epub 2021 May 17.
J Environ Manage. 2021.
PMID: 34015614
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Simulation of time-series groundwater parameters using a hybrid metaheuristic neuro-fuzzy model.
Azizpour A, Izadbakhsh MA, Shabanlou S, Yosefvand F, Rajabi A.
Azizpour A, et al. Among authors: shabanlou s.
Environ Sci Pollut Res Int. 2022 Apr;29(19):28414-28430. doi: 10.1007/s11356-021-17879-4. Epub 2022 Jan 6.
Environ Sci Pollut Res Int. 2022.
PMID: 34988802
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Evaluation of shape factor impact on discharge coefficient of side orifices using boost simulation model with extreme learning machine data-driven.
Heydari M, Shabanlou S, San Ahmadi B.
Heydari M, et al. Among authors: shabanlou s.
Network. 2021 May-Nov;32(2-4):83-109. doi: 10.1080/0954898X.2021.2017047. Epub 2022 Jan 9.
Network. 2021.
PMID: 35001814
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