Stacked graph attention network hypertuned by Heteroscedastic and Evolutionary Bayesian Optimization for fault identification on nuclear power plants robust to sensor drift.
- DOI
- 10.1038/s41598-026-60045-4
- Published
- 2026 Jul 3
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-60045-4,
title = {Stacked graph attention network hypertuned by Heteroscedastic and Evolutionary Bayesian Optimization for fault identification on nuclear power plants robust to sensor drift.},
author = {Stefenon SF and Yow KC},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-60045-4},
url = {https://doi.org/10.1038/s41598-026-60045-4}
}RIS
TY - JOUR TI - Stacked graph attention network hypertuned by Heteroscedastic and Evolutionary Bayesian Optimization for fault identification on nuclear power plants robust to sensor drift. AU - Stefenon SF AU - Yow KC PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-60045-4 UR - https://doi.org/10.1038/s41598-026-60045-4 ER -
APA
SF, S., & KC, Y. (2026). Stacked graph attention network hypertuned by Heteroscedastic and Evolutionary Bayesian Optimization for fault identification on nuclear power plants robust to sensor drift.. Scientific reports. https://doi.org/10.1038/s41598-026-60045-4
Source records
- pubmed · retrieved 2026-09-27T14:34:54.228Z