Improving robustness for model discerning synthesis process of uranium oxide with unsupervised domain adaptation
The quantitative characterization of surface structures captured in scanning electron microscopy (SEM) images has proven to be effective for discerning provenance of an unknown nuclear material. Recently, many works have taken advantage of the powerful performance of convolutional neural networks (C...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-10-01
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Series: | Frontiers in Nuclear Engineering |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnuen.2023.1230052/full |