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Autor:
Kyle J. Bilton, Tenzing H. Y. Joshi, Mark S. Bandstra, Joseph C. Curtis, Daniel Hellfeld, Kai Vetter
Publikováno v:
Journal of Nuclear Engineering, Vol 2, Iss 2, Pp 190-206 (2021)
Artificial neural networks (ANNs) for performing spectroscopic gamma-ray source identification have been previously introduced, primarily for applications in controlled laboratory settings. To understand the utility of these methods in scenarios and
Externí odkaz:
https://doaj.org/article/6c5fc08528784365aa26d74846b0868b