The potential of spatial machine learning to detect and map Escherichia coli and coliform bacteria concentrations in groundwater.
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| Title: | The potential of spatial machine learning to detect and map Escherichia coli and coliform bacteria concentrations in groundwater. |
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| Authors: | Al-Kindi, Khalifa M.1 (AUTHOR) alkindi.k@uniwa.edu.om, AAl-Thani, Ghanim Salim Said2 (AUTHOR) |
| Source: | Applied Water Science. Jun2026, Vol. 16 Issue 6, p1-27. 27p. |
| Database: | Environment Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: eih DbLabel: Environment Complete An: 194750569 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The potential of spatial machine learning to detect and map Escherichia coli and coliform bacteria concentrations in groundwater. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Al-Kindi%2C+Khalifa+M%2E%22">Al-Kindi, Khalifa M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> alkindi.k@uniwa.edu.om</i><br /><searchLink fieldCode="AR" term="%22AAl-Thani%2C+Ghanim+Salim+Said%22">AAl-Thani, Ghanim Salim Said</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Water+Science%22">Applied Water Science</searchLink>. Jun2026, Vol. 16 Issue 6, p1-27. 27p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=194750569 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13201-026-02870-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 1 Titles: – TitleFull: The potential of spatial machine learning to detect and map Escherichia coli and coliform bacteria concentrations in groundwater. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Al-Kindi, Khalifa M. – PersonEntity: Name: NameFull: AAl-Thani, Ghanim Salim Said IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 21905487 Numbering: – Type: volume Value: 16 – Type: issue Value: 6 Titles: – TitleFull: Applied Water Science Type: main |
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