Optimizing the mechanical performance of sustainable industrial waste modified concrete using supervised machine learning modeling and feature importance analysis.
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| Title: | Optimizing the mechanical performance of sustainable industrial waste modified concrete using supervised machine learning modeling and feature importance analysis. |
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| Authors: | AbdelMongy M; Department of Civil Engineering, College of Engineering, Jouf University, Sakaka, 72388, Saudi Arabia., Uddin MA; Department of Civil Engineering, College of Engineering, Jouf University, Sakaka, 72388, Saudi Arabia., Sobuz MHR; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Mazumder S; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Azad M; Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia., Kabbo MKI; Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Jameel M; Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Saudi Arabia. jamoali@kku.edu.sa., Abubakar SA; Department of Civil Engineering, Kampala International University, Western Campus, Ishaka, Bushenyi, Western Region, Uganda. saliyu@kiu.ac.ug. |
| Source: | Scientific reports [Sci Rep] 2026 Jun 19. Date of Electronic Publication: 2026 Jun 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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