Predicting the Compressive Strength of Ash‐Based Concrete Using Machine Learning Approach: Paving the Way to Sustainable Concrete.
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| Title: | Predicting the Compressive Strength of Ash‐Based Concrete Using Machine Learning Approach: Paving the Way to Sustainable Concrete. |
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| Authors: | Abitew, Mahder Ketemaw1, Yehualaw, Mitiku Damtie1, Lemma, Hanibal1, hanibal.lemma@bdu.edu.et, Gupta, Ankit1, ankit.civ@iitbhu.ac.in |
| Source: | Advances in Civil Engineering; 2/8/2026, Vol. 2026, p1-18, 18p |
| 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: 191457482 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/adce/5558821 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Titles: – TitleFull: Predicting the Compressive Strength of Ash‐Based Concrete Using Machine Learning Approach: Paving the Way to Sustainable Concrete. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abitew, Mahder Ketemaw – PersonEntity: Name: NameFull: Yehualaw, Mitiku Damtie – PersonEntity: Name: NameFull: Lemma, Hanibal – PersonEntity: Name: NameFull: Gupta, Ankit IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 02 Text: 2/8/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16878086 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: Advances in Civil Engineering Type: main |
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