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A comparison of machine learning models for the mapping of groundwater spring potential.

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Title: A comparison of machine learning models for the mapping of groundwater spring potential.
Authors: Al-Fugara, A'kif1, Pourghasemi, Hamid Reza2, hr.pourghasemi@shirazu.ac.ir, Al-Shabeeb, Abdel Rahman3, Habib, Maan4, Al-Adamat, Rida3, Al-Amoush, Hani5, Collins, Adrian L.6
Source: Environmental Earth Sciences; May2020, Vol. 79 Issue 10, p1-19, 19p, 2 Diagrams, 10 Charts, 4 Graphs, 7 Maps
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A comparison of machine learning models for the mapping of groundwater spring potential.
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Earth+Sciences%22">Environmental Earth Sciences</searchLink>; May2020, Vol. 79 Issue 10, p1-19, 19p, 2 Diagrams, 10 Charts, 4 Graphs, 7 Maps
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=143875071
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        Value: 10.1007/s12665-020-08944-1
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        Text: English
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      – TitleFull: A comparison of machine learning models for the mapping of groundwater spring potential.
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              Text: May2020
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