Research
Generative adversarial networks with Monte Carlo dropout uncertainty quantification for structural health monitoring: Fibre Bragg grating data augmentation comparison in Hawk T1A aircraft
A novel data augmentation framework combines generative adversarial networks with Monte Carlo dropout uncertainty for aerospace structures, demonstrating…
Research
#Generative Adversarial Networks#Uncertainty Quantification#Aerospace#Structural Health Monitoring#Data Augmentation#Benchmarks