Machine learning based prediction of mechanical strength in self-compacting concrete incorporating electronic waste aggregates
- DOI
- 10.1007/s11356-026-37617-y
- Published
- 2026-03-16
- Container
- Environmental Science and Pollution Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11356-026-37617-y,
title = {Machine learning based prediction of mechanical strength in self-compacting concrete incorporating electronic waste aggregates},
author = {Saranya Kandasamy and Ramadevi Kanagaraj},
year = {2026},
journal = {Environmental Science and Pollution Research},
doi = {10.1007/s11356-026-37617-y},
url = {https://doi.org/10.1007/s11356-026-37617-y}
}RIS
TY - JOUR TI - Machine learning based prediction of mechanical strength in self-compacting concrete incorporating electronic waste aggregates AU - Saranya Kandasamy AU - Ramadevi Kanagaraj PY - 2026 JO - Environmental Science and Pollution Research DO - 10.1007/s11356-026-37617-y UR - https://doi.org/10.1007/s11356-026-37617-y ER -
APA
Kandasamy, S., & Kanagaraj, R. (2026). Machine learning based prediction of mechanical strength in self-compacting concrete incorporating electronic waste aggregates. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-026-37617-y
Source records
- crossref · retrieved 2026-09-25T21:20:34.137Z