The Potential of Big Data and Machine Learning for Ground Water Quality Assessment and Prediction: The Potential of Big Data and Machine Learning for Ground...: A. Rajeev et al.
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| Title: | The Potential of Big Data and Machine Learning for Ground Water Quality Assessment and Prediction: The Potential of Big Data and Machine Learning for Ground...: A. Rajeev et al. |
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| Authors: | Rajeev, Athira1, Shah, Rehan2, Shah, Parin1, Shah, Manan3, manan.shah@spt.pdpu.ac.in, Nanavaty, Rudraksh4 |
| Source: | Archives of Computational Methods in Engineering; Mar2025, Vol. 32 Issue 2, p927-941, 15p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 183641073 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=183641073 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11831-024-10156-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 927 Titles: – TitleFull: The Potential of Big Data and Machine Learning for Ground Water Quality Assessment and Prediction: The Potential of Big Data and Machine Learning for Ground...: A. Rajeev et al. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rajeev, Athira – PersonEntity: Name: NameFull: Shah, Rehan – PersonEntity: Name: NameFull: Shah, Parin – PersonEntity: Name: NameFull: Shah, Manan – PersonEntity: Name: NameFull: Nanavaty, Rudraksh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 11343060 Numbering: – Type: volume Value: 32 – Type: issue Value: 2 Titles: – TitleFull: Archives of Computational Methods in Engineering Type: main |
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