Application of deep metric learning model to microscope image analysis for the determination of UOC samples in nuclear forensics analysis
Author:
Funder
Ministry of Education, Culture, Sports, Science and Technology
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10967-023-09300-w.pdf
Reference22 articles.
1. Fedchenko V (2015) New nuclear forensics. Oxford University Press, Harvard
2. Tamasi AL, Cash LJ, Eley C et al (2016) A lexicon for consistent description of material images for nuclear forensics. J Radioanal Nucl Chem 307:1611–1619
3. Keegan E, Kristo MJ, Colella M et al (2014) Nuclear forensic analysis of an unknown uranium ore concentrate sample seized in a criminal investigation in Australia. Forensic Sci Int 240:111–121
4. Gaschen BK, Bloch JJ, Porter R et al (2016) MAMA user guide v2.0.1. LA-UR-16-25116
5. Fongaro L, Ho DM, Kvaal K et al (2016) Application of the angle measure technique as image texture analysis method for the identification of uranium ore concentrate samples: new perspective in nuclear forensics. Talanta 152:463–474
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