Metaheuristic optimized hybrid machine learning framework for predicting soil compaction parameters.

Ateş B, Tiang JJ, Eirgash MA, Rao RV, Sharma A, Lim WH

DOI: 10.1038/s41598-026-59491-x
Published: 2026 Jul 8
Container: Scientific reports
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-59491-x,
  title = {Metaheuristic optimized hybrid machine learning framework for predicting soil compaction parameters.},
  author = {Ateş B and Tiang JJ and Eirgash MA and Rao RV and Sharma A and Lim WH},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-59491-x},
  url = {https://doi.org/10.1038/s41598-026-59491-x}
}

RIS

TY  - JOUR
TI  - Metaheuristic optimized hybrid machine learning framework for predicting soil compaction parameters.
AU  - Ateş B
AU  - Tiang JJ
AU  - Eirgash MA
AU  - Rao RV
AU  - Sharma A
AU  - Lim WH
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-59491-x
UR  - https://doi.org/10.1038/s41598-026-59491-x
ER  -

APA

B, A., JJ, T., MA, E., RV, R., A, S., & WH, L. (2026). Metaheuristic optimized hybrid machine learning framework for predicting soil compaction parameters.. Scientific reports. https://doi.org/10.1038/s41598-026-59491-x

Source records

pubmed · retrieved 2026-09-26T05:30:38.594Z