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A Machine Learning Approach for the Estimation of Total Dissolved Solids Concentration in Lake Mead Using Electrical Conductivity and Temperature.

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Title: A Machine Learning Approach for the Estimation of Total Dissolved Solids Concentration in Lake Mead Using Electrical Conductivity and Temperature.
Authors: Adjovu, Godson Ebenezer1 (AUTHOR) adjovg1@unlv.nevada.edu, Stephen, Haroon1 (AUTHOR), Ahmad, Sajjad1 (AUTHOR) sajjad.ahmad@unlv.edu
Source: Water (20734441). Jul2023, Vol. 15 Issue 13, p2439. 26p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 164941082
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PubType: Academic Journal
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  Data: A Machine Learning Approach for the Estimation of Total Dissolved Solids Concentration in Lake Mead Using Electrical Conductivity and Temperature.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Jul2023, Vol. 15 Issue 13, p2439. 26p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=164941082
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/w15132439
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 26
        StartPage: 2439
    Titles:
      – TitleFull: A Machine Learning Approach for the Estimation of Total Dissolved Solids Concentration in Lake Mead Using Electrical Conductivity and Temperature.
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            NameFull: Adjovu, Godson Ebenezer
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            NameFull: Stephen, Haroon
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            NameFull: Ahmad, Sajjad
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            – D: 01
              M: 07
              Text: Jul2023
              Type: published
              Y: 2023
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              Value: 15
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              Value: 13
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