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
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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:
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      – Type: doi
        Value: 10.14359/51746714
    Languages:
      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 51
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      – TitleFull: Artificial Intelligence Approach for Predicting Compressive Strength of Geopolymer Concrete.
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            NameFull: Naveed, Muhammad
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            NameFull: Hameed, Asif
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            NameFull: Rasool, Ali Murtaza
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            NameFull: Hameed, Rashid
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 122
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