Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Jordan R. Stomps"'
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2518 (2024)
Data analysis techniques can be powerful tools for rapidly analyzing data and extracting information that can be used in a latent space for categorizing observations between classes of data. Machine learning models that exploit learned data relations
Externí odkaz:
https://doaj.org/article/4432a901bc8342e198c9efe97ffdfa65
Autor:
Jordan R. Stomps, Paul P. H. Wilson, Kenneth J. Dayman, Michael J. Willis, James M. Ghawaly, Daniel E. Archer
Publikováno v:
Journal of Nuclear Engineering, Vol 4, Iss 3, Pp 448-466 (2023)
The timely detection of special nuclear material (SNM) transfers between nuclear facilities is an important monitoring objective in nuclear nonproliferation. Persistent monitoring enabled by successful detection and characterization of radiological m
Externí odkaz:
https://doaj.org/article/29a43967bdeb4baa88065c85e8652e66