Convolutional Neural Networks for Challenges in Automated Nuclide Identification

Convolutional Neural Networks for Challenges in Automated Nuclide Identification

Improvements in Radio-Isotope IDentification (RIID) algorithms have seen a resurgence in interest with the increased accessibility of machine learning models. Convolutional Neural Network (CNN)-based models have been developed to identify arbitrary mixtures of unstable nuclides from gamma spectra. I...

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Detalhes bibliográficos
Main Authors: Anthony N. Turner, Carl Wheldon, Tzany Kokalova Wheldon, Mark R. Gilbert, Lee W. Packer, Jonathan Burns, Martin Freer
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2021-08-01
Colecção:Sensors
Assuntos:
radio-isotope identification
convolutional neural network
gamma spectrometry
simulations
GEANT
nuclear applications
Acesso em linha:https://www.mdpi.com/1424-8220/21/15/5238

Internet

https://www.mdpi.com/1424-8220/21/15/5238

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