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PUBMED FOR HANDHELDS

Journal Abstract Search


258 related items for PubMed ID: 36715809

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  • 2. Probability mapping of groundwater contamination by hydrocarbon from the deep oil reservoirs using GIS-based machine-learning algorithms: a case study of the Dammam aquifer (middle of Iraq).
    Al-Mayahi HM, Al-Abadi AM, Fryar AE.
    Environ Sci Pollut Res Int; 2021 Mar; 28(11):13736-13751. PubMed ID: 33196994
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  • 7. Groundwater potential assessment using GIS-based ensemble learning models in Guanzhong Basin, China.
    Wang Z, Wang J, Yu D, Chen K.
    Environ Monit Assess; 2023 May 18; 195(6):690. PubMed ID: 37199816
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  • 10. Comparative evaluation of machine learning models for groundwater quality assessment.
    Bedi S, Samal A, Ray C, Snow D.
    Environ Monit Assess; 2020 Nov 21; 192(12):776. PubMed ID: 33219864
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  • 15. Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model.
    Mohseni U, Pande CB, Chandra Pal S, Alshehri F.
    Chemosphere; 2024 Mar 21; 352():141393. PubMed ID: 38325619
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  • 17. Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential.
    Naghibi SA, Dolatkordestani M, Rezaei A, Amouzegari P, Heravi MT, Kalantar B, Pradhan B.
    Environ Monit Assess; 2019 Mar 27; 191(4):248. PubMed ID: 30919064
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  • 18. Groundwater quality assessment by multi-model comparison: a comprehensive study during dry and wet periods in semi-arid regions.
    Wang Z, Wang Y.
    Environ Sci Pollut Res Int; 2023 Apr 27; 30(18):51571-51594. PubMed ID: 36810824
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  • 20. Using machine learning algorithms to map the groundwater recharge potential zones.
    Pourghasemi HR, Sadhasivam N, Yousefi S, Tavangar S, Ghaffari Nazarlou H, Santosh M.
    J Environ Manage; 2020 Jul 01; 265():110525. PubMed ID: 32275245
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