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A comparison of methods for generating synthetic training data for domain adaption of deep learning models in ultrasonic non-destructive evaluation (2024)

First Author: McKnight S

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