Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms.
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| Title: | Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms. |
|---|---|
| Authors: | Joshi, Tejas1, tejas.joshi@nirmauni.ac.in, Mathur, Pulkit1, Oza, Parita1, Agrawal, Smita1, Narmawala, Husen1 |
| Source: | Advances in Civil & Architectural Engineering; 2024, Vol. 15 Issue 29, p168-192, 25p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 182260672 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=182260672 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.13167/2024.29.11 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 168 Titles: – TitleFull: Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Joshi, Tejas – PersonEntity: Name: NameFull: Mathur, Pulkit – PersonEntity: Name: NameFull: Oza, Parita – PersonEntity: Name: NameFull: Agrawal, Smita – PersonEntity: Name: NameFull: Narmawala, Husen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 29753848 Numbering: – Type: volume Value: 15 – Type: issue Value: 29 Titles: – TitleFull: Advances in Civil & Architectural Engineering Type: main |
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