Artificial Intelligence Approach for Predicting Compressive Strength of Geopolymer Concrete.
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| Title: | Artificial Intelligence Approach for Predicting Compressive Strength of Geopolymer Concrete. |
|---|---|
| Authors: | Naveed, Muhammad1, Hameed, Asif2, Rasool, Ali Murtaza3, Hameed, Rashid2, Mukhtar, Danish4 |
| Source: | ACI Materials Journal; May2025, Vol. 122 Issue 3, p51-65, 15p |
| 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: 185637215 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=185637215 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.14359/51746714 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 51 Titles: – TitleFull: Artificial Intelligence Approach for Predicting Compressive Strength of Geopolymer Concrete. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Naveed, Muhammad – PersonEntity: Name: NameFull: Hameed, Asif – PersonEntity: Name: NameFull: Rasool, Ali Murtaza – PersonEntity: Name: NameFull: Hameed, Rashid – PersonEntity: Name: NameFull: Mukhtar, Danish IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 0889325X Numbering: – Type: volume Value: 122 – Type: issue Value: 3 Titles: – TitleFull: ACI Materials Journal Type: main |
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