Prioritising construction accident risk factors using an integrated Random Forest, XGBoost, and ANN framework with sensitivity analysis.
- DOI
- 10.1038/s41598-026-61367-z
- Published
- 2026 Jul 27
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-61367-z,
title = {Prioritising construction accident risk factors using an integrated Random Forest, XGBoost, and ANN framework with sensitivity analysis.},
author = {Alotaibi A and Gambatese J and Wefki H and Alqurashi A and Elnabwy MT},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-61367-z},
url = {https://doi.org/10.1038/s41598-026-61367-z}
}RIS
TY - JOUR TI - Prioritising construction accident risk factors using an integrated Random Forest, XGBoost, and ANN framework with sensitivity analysis. AU - Alotaibi A AU - Gambatese J AU - Wefki H AU - Alqurashi A AU - Elnabwy MT PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-61367-z UR - https://doi.org/10.1038/s41598-026-61367-z ER -
APA
A, A., J, G., H, W., A, A., & MT, E. (2026). Prioritising construction accident risk factors using an integrated Random Forest, XGBoost, and ANN framework with sensitivity analysis.. Scientific reports. https://doi.org/10.1038/s41598-026-61367-z
Source records
- pubmed · retrieved 2026-09-26T02:27:11.875Z