Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar.
- DOI
- 10.1038/s41598-025-01327-1
- Published
- 2025 Jun 3
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-01327-1,
title = {Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar.},
author = {Khan NM and Ma L and Inqiad WB and Khan MS and Iqbal I and Emad MZ and Alarifi SS},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-01327-1},
url = {https://doi.org/10.1038/s41598-025-01327-1}
}RIS
TY - JOUR TI - Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar. AU - Khan NM AU - Ma L AU - Inqiad WB AU - Khan MS AU - Iqbal I AU - Emad MZ AU - Alarifi SS PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-01327-1 UR - https://doi.org/10.1038/s41598-025-01327-1 ER -
APA
NM, K., L, M., WB, I., MS, K., I, I., MZ, E., & SS, A. (2025). Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar.. Scientific reports. https://doi.org/10.1038/s41598-025-01327-1
Source records
- pubmed · retrieved 2026-09-26T11:12:10.489Z