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Page 1
Comparing three types of data-driven models for monthly evapotranspiration prediction under heterogeneous climatic conditions.
Sci Rep. 2022 Oct 17;12(1):17363. doi: 10.1038/s41598-022-22272-3.
Sci Rep. 2022.
PMID: 36253432
Free PMC article.
Comparing linear and non-linear data-driven approaches in monthly river flow prediction, based on the models SARIMA, LSSVM, ANFIS, and GMDH.
Khodakhah H, Aghelpour P, Hamedi Z.
Khodakhah H, et al. Among authors: aghelpour p.
Environ Sci Pollut Res Int. 2022 Mar;29(15):21935-21954. doi: 10.1007/s11356-021-17443-0. Epub 2021 Nov 13.
Environ Sci Pollut Res Int. 2022.
PMID: 34773585
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Coupling ANFIS with ant colony optimization (ACO) algorithm for 1-, 2-, and 3-days ahead forecasting of daily streamflow, a case study in Poland.
Aghelpour P, Graf R, Tomaszewski E.
Aghelpour P, et al.
Environ Sci Pollut Res Int. 2023 Apr;30(19):56440-56463. doi: 10.1007/s11356-023-26239-3. Epub 2023 Mar 15.
Environ Sci Pollut Res Int. 2023.
PMID: 36920613
Free PMC article.
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One to twelve-month-ahead forecasting of MODIS-derived Qinghai Lake area, using neuro-fuzzy system hybridized by firefly optimization.
Aghelpour P, Bahrami-Pichaghchi H, Varshavian V, Norooz-Valashedi R.
Aghelpour P, et al.
Environ Sci Pollut Res Int. 2024 Feb 28. doi: 10.1007/s11356-024-32620-7. Online ahead of print.
Environ Sci Pollut Res Int. 2024.
PMID: 38418789
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