Damon Howe

Physics-informed jitter augmentation for hydrodynamic time series

A novel feature-engineering methodology is introduced that derives a physics-informed jitter variance from experiment–simulation discrepancies in time–frequency features, turning jittering from a heuristic into a principled step, and improves the ML usability of low-fidelity hydrodynamic time series.