Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks.
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| Title: | Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks. |
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| Authors: | Kochukrishnan, Sowmya1 (AUTHOR) sowmya.civil@gmail.com, Krishnamurthy, Premalatha1 (AUTHOR), D., Yuvarajan2 (AUTHOR), Kaliappan, Nandagopal3 (AUTHOR) nandagopal.kaliappan@haramaya.edu.et |
| Source: | Scientific Reports. 3/28/2024, Vol. 14 Issue 1, p1-12. 12p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 176339809 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-024-58001-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kochukrishnan, Sowmya – PersonEntity: Name: NameFull: Krishnamurthy, Premalatha – PersonEntity: Name: NameFull: D., Yuvarajan – PersonEntity: Name: NameFull: Kaliappan, Nandagopal IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 03 Text: 3/28/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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