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Utilization of Industrial Waste as a Sustainable Approach for Enhancing the Properties of Ternary Blended Concrete Prediction with Machine Learning.

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Title: Utilization of Industrial Waste as a Sustainable Approach for Enhancing the Properties of Ternary Blended Concrete Prediction with Machine Learning.
Authors: Lalitha, G.1 (AUTHOR) lalitha_g@vnrvjiet.in, Dharwadkar, Shrinivas N.2 (AUTHOR), Turai, Vaishali Rama3 (AUTHOR), Dhaigude, Tanaji A.4 (AUTHOR), Patil, Ajit5 (AUTHOR), Sharma, Grishma6 (AUTHOR), Gawande, S. H.7 (AUTHOR)
Source: Annales de Chimie Science des Matériaux. Apr2026, Vol. 50 Issue 2, p139-147. 9p.
Database: Academic Search Ultimate
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An: 194179678
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  Data: Utilization of Industrial Waste as a Sustainable Approach for Enhancing the Properties of Ternary Blended Concrete Prediction with Machine Learning.
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  Data: <searchLink fieldCode="JN" term="%22Annales+de+Chimie+Science+des+Matériaux%22">Annales de Chimie Science des Matériaux</searchLink>. Apr2026, Vol. 50 Issue 2, p139-147. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194179678
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        Value: 10.18280/acsm.500204
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        Text: English
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      – TitleFull: Utilization of Industrial Waste as a Sustainable Approach for Enhancing the Properties of Ternary Blended Concrete Prediction with Machine Learning.
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              Text: Apr2026
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              Y: 2026
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