Machine learning approach for predicting the influence of pulverized waste tire rubber fines as a sustainable cement alternative in concrete.
- DOI
- 10.1016/j.wasman.2026.115396
- Published
- 2026 Mar 15
- Container
- Waste management (New York, N.Y.)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.wasman.2026.115396,
title = {Machine learning approach for predicting the influence of pulverized waste tire rubber fines as a sustainable cement alternative in concrete.},
author = {Sofi A and Nagarajan P and Kumanan TS},
year = {2026},
journal = {Waste management (New York, N.Y.)},
doi = {10.1016/j.wasman.2026.115396},
url = {https://doi.org/10.1016/j.wasman.2026.115396}
}RIS
TY - JOUR TI - Machine learning approach for predicting the influence of pulverized waste tire rubber fines as a sustainable cement alternative in concrete. AU - Sofi A AU - Nagarajan P AU - Kumanan TS PY - 2026 JO - Waste management (New York, N.Y.) DO - 10.1016/j.wasman.2026.115396 UR - https://doi.org/10.1016/j.wasman.2026.115396 ER -
APA
A, S., P, N., & TS, K. (2026). Machine learning approach for predicting the influence of pulverized waste tire rubber fines as a sustainable cement alternative in concrete.. Waste management (New York, N.Y.). https://doi.org/10.1016/j.wasman.2026.115396
Source records
- pubmed · retrieved 2026-11-10T11:01:58.210Z