Generative Few-Shot Siamese Networks for Anomaly Detection: Application to Pipeline Leakage in Nuclear Power Plants.
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| Title: | Generative Few-Shot Siamese Networks for Anomaly Detection: Application to Pipeline Leakage in Nuclear Power Plants. |
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| Authors: | Jeong JH; Department of Electronic Information System Engineering, Sangmyung University, Cheonan 31066, Republic of Korea., Choi YR; Nuclear System Integrity Sensing and Diagnosis Division, Korea Atomic Energy Research Institute, Daejeon 34057, Republic of Korea., Choi YH; Department of Human Intelligence and Robot Engineering, Sangmyung University, Cheonan 31066, Republic of Korea., Cho DY; Department of Nuclear System Engineering, University of Science and Technology (UST), Daejeon 34113, Republic of Korea., Kim MS; Department of Human Intelligence and Robot Engineering, Sangmyung University, Cheonan 31066, Republic of Korea. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Jul 10; Vol. 26 (14). Date of Electronic Publication: 2026 Jul 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1424-8220 |
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| DOI: | 10.3390/s26144372 |
