Generative Few-Shot Siamese Networks for Anomaly Detection: Application to Pipeline Leakage in Nuclear Power Plants.
- DOI
- 10.3390/s26144372
- Published
- 2026 Jul 10
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26144372,
title = {Generative Few-Shot Siamese Networks for Anomaly Detection: Application to Pipeline Leakage in Nuclear Power Plants.},
author = {Jeong JH and Choi YR and Choi YH and Cho DY and Kim MS},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26144372},
url = {https://doi.org/10.3390/s26144372}
}RIS
TY - JOUR TI - Generative Few-Shot Siamese Networks for Anomaly Detection: Application to Pipeline Leakage in Nuclear Power Plants. AU - Jeong JH AU - Choi YR AU - Choi YH AU - Cho DY AU - Kim MS PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26144372 UR - https://doi.org/10.3390/s26144372 ER -
APA
JH, J., YR, C., YH, C., DY, C., & MS, K. (2026). Generative Few-Shot Siamese Networks for Anomaly Detection: Application to Pipeline Leakage in Nuclear Power Plants.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26144372
Source records
- pubmed · retrieved 2026-09-26T22:02:28.580Z