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Improving Prediction of Compressive Strength of Rectangular/Square (R/S) FRP-Confined Concrete Using Machine Learning.

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Title: Improving Prediction of Compressive Strength of Rectangular/Square (R/S) FRP-Confined Concrete Using Machine Learning.
Authors: Ghasemi, Mohammad1, m.ahasemi@velayat.ac.ir, Moodi, Yaser2, Mousavi, Seyed Rohollah3
Source: Mechanics of Advanced Composite Structures (MACS); 2026, Vol. 13 Issue 2, p283-304, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194559948
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=194559948
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.22075/MACS.2025.35977.1764
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 283
    Titles:
      – TitleFull: Improving Prediction of Compressive Strength of Rectangular/Square (R/S) FRP-Confined Concrete Using Machine Learning.
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            NameFull: Ghasemi, Mohammad
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            NameFull: Moodi, Yaser
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            NameFull: Mousavi, Seyed Rohollah
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              Text: 2026
              Type: published
              Y: 2026
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              Value: 13
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              Value: 2
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            – TitleFull: Mechanics of Advanced Composite Structures (MACS)
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