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Artificial Intelligence-Based Prediction of Compressive Strength in High-Performance Eco-Friendly Concrete Incorporating Recycled Waste Glass.

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Title: Artificial Intelligence-Based Prediction of Compressive Strength in High-Performance Eco-Friendly Concrete Incorporating Recycled Waste Glass.
Authors: Corbu, Ofelia Cornelia1,2 (AUTHOR) anca.popa@mecon.utcluj.ro, Popa, Anca Gabriela1,2,3 (AUTHOR), Ghafari, Sepehr3,4 (AUTHOR) s.ghafari@leedsbeckett.ac.uk
Source: Materials (1996-1944). Mar2026, Vol. 19 Issue 6, p1050. 27p.
Database: Academic Search Ultimate
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An: 192591483
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  Data: Artificial Intelligence-Based Prediction of Compressive Strength in High-Performance Eco-Friendly Concrete Incorporating Recycled Waste Glass.
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  Data: <searchLink fieldCode="JN" term="%22Materials+%281996-1944%29%22">Materials (1996-1944)</searchLink>. Mar2026, Vol. 19 Issue 6, p1050. 27p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/ma19061050
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 1050
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      – TitleFull: Artificial Intelligence-Based Prediction of Compressive Strength in High-Performance Eco-Friendly Concrete Incorporating Recycled Waste Glass.
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            NameFull: Corbu, Ofelia Cornelia
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            NameFull: Popa, Anca Gabriela
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            NameFull: Ghafari, Sepehr
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              Text: Mar2026
              Type: published
              Y: 2026
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              Value: 19
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              Value: 6
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            – TitleFull: Materials (1996-1944)
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