Generative adversarial networks with Monte Carlo dropout uncertainty quantification for structural health monitoring: Fibre Bragg grating data augmentation comparison in Hawk T1A aircraft
arXiv 2610.22436v1•f9b8b249f490906dd6d0a1daf44b2c44e61a23b4653c7a40927dadd78b1e5958
Paper metadata
- arXiv ID
- 2610.22436
- Version
- v1
- Category
- cs.LG, eess.SP
- Authors
- Alvaro Peiro, Marios Impraimakis
- Publication date
- 2026-10-19T04:00:00Z
- Source identifier
- 2610.22436v1
- Public record ID
- record:sha256:f9b8b249f490906dd6d0a1daf44b2c44e61a23b4653c7a40927dadd78b1e5958
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- f9b8b249f490906dd6d0a1daf44b2c44e61a23b4653c7a40927dadd78b1e5958
- Record type
- Source metadata
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