Optimization and predictive measurement of compressive strength of iron ore slag modified concrete using data-driven supervised machine learning algorithms
- DOI
- 10.1038/s41598-026-61512-8
- Published
- 2026-07-10
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-61512-8,
title = {Optimization and predictive measurement of compressive strength of iron ore slag modified concrete using data-driven supervised machine learning algorithms},
author = {Md. Habibur Rahman Sobuz and Md. Kawsarul Islam Kabbo and Abdullah Alzlfawi and Mohammad Alameri and Ratan Lal and Walid Mansour and Sani Aliyu Abubakar},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-61512-8},
url = {https://doi.org/10.1038/s41598-026-61512-8}
}RIS
TY - JOUR TI - Optimization and predictive measurement of compressive strength of iron ore slag modified concrete using data-driven supervised machine learning algorithms AU - Md. Habibur Rahman Sobuz AU - Md. Kawsarul Islam Kabbo AU - Abdullah Alzlfawi AU - Mohammad Alameri AU - Ratan Lal AU - Walid Mansour AU - Sani Aliyu Abubakar PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-61512-8 UR - https://doi.org/10.1038/s41598-026-61512-8 ER -
APA
Sobuz, M. H. R., Kabbo, M. K. I., Alzlfawi, A., Alameri, M., Lal, R., Mansour, W., & Abubakar, S. A. (2026). Optimization and predictive measurement of compressive strength of iron ore slag modified concrete using data-driven supervised machine learning algorithms. Scientific Reports. https://doi.org/10.1038/s41598-026-61512-8
Source records
- crossref · retrieved 2026-11-09T07:27:44.521Z