A comparison of methods for generating synthetic training data for domain adaption of deep learning models in ultrasonic non-destructive evaluation (2024)
Attributed to:
New Wire Additive Manufacturing (NEWAM)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.ndteint.2023.102978
Publication URI: http://dx.doi.org/10.1016/j.ndteint.2023.102978
Type: Journal Article/Review
Parent Publication: NDT & E International