A study on risk assessment and system development of tunnel lighting facilities based on XGBoost and Bayesian optimization.

Xiao H, Yang W, Tang J, Wang ZL

Open source

DOI
10.1038/s41598-026-54945-8
Published
2026 Aug 19
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-54945-8,
  title = {A study on risk assessment and system development of tunnel lighting facilities based on XGBoost and Bayesian optimization.},
  author = {Xiao H and Yang W and Tang J and Wang ZL},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-54945-8},
  url = {https://doi.org/10.1038/s41598-026-54945-8}
}

RIS

TY  - JOUR
TI  - A study on risk assessment and system development of tunnel lighting facilities based on XGBoost and Bayesian optimization.
AU  - Xiao H
AU  - Yang W
AU  - Tang J
AU  - Wang ZL
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-54945-8
UR  - https://doi.org/10.1038/s41598-026-54945-8
ER  - 

APA

H, X., W, Y., J, T., & ZL, W. (2026). A study on risk assessment and system development of tunnel lighting facilities based on XGBoost and Bayesian optimization.. Scientific reports. https://doi.org/10.1038/s41598-026-54945-8

Source records