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Optimization-driven XGBoost model with metaheuristic algorithms for assessing compressive strength of high-performance concrete.

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Title: Optimization-driven XGBoost model with metaheuristic algorithms for assessing compressive strength of high-performance concrete.
Authors: Rai, Amit Kumar1, amitk.ph21.ce@nitp.ac.in, Kumar, Shiv Shankar1, k.shiv.ce@nitp.ac.in
Source: Asian Journal of Civil Engineering; Aug2025, Vol. 26 Issue 8, p3401-3421, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191451573
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Optimization-driven XGBoost model with metaheuristic algorithms for assessing compressive strength of high-performance concrete.
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  Data: <searchLink fieldCode="JN" term="%22Asian+Journal+of+Civil+Engineering%22">Asian Journal of Civil Engineering</searchLink>; Aug2025, Vol. 26 Issue 8, p3401-3421, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191451573
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      – Type: doi
        Value: 10.1007/s42107-025-01379-8
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 3401
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      – TitleFull: Optimization-driven XGBoost model with metaheuristic algorithms for assessing compressive strength of high-performance concrete.
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            NameFull: Rai, Amit Kumar
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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