Artificial Neural Network-Based Prediction of Compressive Strength for Mix Design Evaluation in Sustainable Expanded Polystyrene-Infused Concrete.
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| Title: | Artificial Neural Network-Based Prediction of Compressive Strength for Mix Design Evaluation in Sustainable Expanded Polystyrene-Infused Concrete. |
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| Authors: | Castillanes, Kavin John O.1, Estores, Gilford B.2 |
| Source: | Buildings (2075-5309); Mar2026, Vol. 16 Issue 6, p1252, 27p |
| 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: 192637388 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/buildings16061252 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 1252 Titles: – TitleFull: Artificial Neural Network-Based Prediction of Compressive Strength for Mix Design Evaluation in Sustainable Expanded Polystyrene-Infused Concrete. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Castillanes, Kavin John O. – PersonEntity: Name: NameFull: Estores, Gilford B. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20755309 Numbering: – Type: volume Value: 16 – Type: issue Value: 6 Titles: – TitleFull: Buildings (2075-5309) Type: main |
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