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Estimation of ecological footprint based on tourism development indicators using neural networks and multivariate regression.
Environ Sci Pollut Res Int. 2023 Mar;30(12):33396-33418. doi: 10.1007/s11356-022-24471-x. Epub 2022 Dec 8.
Environ Sci Pollut Res Int. 2023.
PMID: 36478534
Predicting ecological footprint based on global macro indicators in G-20 countries using machine learning approaches.
Roumiani A, Mofidi A.
Roumiani A, et al.
Environ Sci Pollut Res Int. 2022 Feb;29(8):11736-11755. doi: 10.1007/s11356-021-16515-5. Epub 2021 Sep 21.
Environ Sci Pollut Res Int. 2022.
PMID: 34545526
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Correction to: Estimation of ecological footprint based on tourism development indicators using neural networks and multivariate regression.
Roumiani A, Shayan H, Sharifinia Z, Moghadam SS.
Roumiani A, et al.
Environ Sci Pollut Res Int. 2023 Aug;30(37):88239. doi: 10.1007/s11356-023-28586-7.
Environ Sci Pollut Res Int. 2023.
PMID: 37400704
No abstract available.
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Globalization, renewable energy consumption, and agricultural production impacts on ecological footprint in emerging countries: using quantile regression approach.
Salari TE, Roumiani A, Kazemzadeh E.
Salari TE, et al. Among authors: roumiani a.
Environ Sci Pollut Res Int. 2021 Sep;28(36):49627-49641. doi: 10.1007/s11356-021-14204-x. Epub 2021 May 3.
Environ Sci Pollut Res Int. 2021.
PMID: 33939093
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