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Experimental and machine learning prediction of compressive strength of chemically activated RHA based RAC using SHAP and PDP analysis.

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Title: Experimental and machine learning prediction of compressive strength of chemically activated RHA based RAC using SHAP and PDP analysis.
Authors: Al-Naghi, Ahmed A. Alawi1 (AUTHOR) a.alnaghi@uoh.edu.sa, Ali, Tariq2 (AUTHOR), Inam, Inamullah3 (AUTHOR) inam.azizi@gmail.com, Qureshi, Muhammad Zeeshan4 (AUTHOR) qureshizeeshan746@gmail.com, Mahmood, Muhammad Sarmad2 (AUTHOR), Kahla, Nabil Ben5,6 (AUTHOR), Ghazouani, Nejib7 (AUTHOR)
Source: Scientific Reports. 12/4/2025, Vol. 15 Issue 1, p1-23. 23p.
Database: Academic Search Ultimate
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  Data: Experimental and machine learning prediction of compressive strength of chemically activated RHA based RAC using SHAP and PDP analysis.
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  Data: <searchLink fieldCode="AR" term="%22Al-Naghi%2C+Ahmed+A%2E+Alawi%22">Al-Naghi, Ahmed A. Alawi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> a.alnaghi@uoh.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Ali%2C+Tariq%22">Ali, Tariq</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Inam%2C+Inamullah%22">Inam, Inamullah</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> inam.azizi@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Qureshi%2C+Muhammad+Zeeshan%22">Qureshi, Muhammad Zeeshan</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> qureshizeeshan746@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Mahmood%2C+Muhammad+Sarmad%22">Mahmood, Muhammad Sarmad</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kahla%2C+Nabil+Ben%22">Kahla, Nabil Ben</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ghazouani%2C+Nejib%22">Ghazouani, Nejib</searchLink><relatesTo>7</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 12/4/2025, Vol. 15 Issue 1, p1-23. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192492365
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        Value: 10.1038/s41598-025-25592-2
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              Text: 12/4/2025
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