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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Detalles Bibliográficos
Autores principales: Turner, Anthony N., Wheldon, Carl, Wheldon, Tzany Kokalova, Gilbert, Mark R., Packer, Lee W., Burns, Jonathan, Freer, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347253/
https://www.ncbi.nlm.nih.gov/pubmed/34372475
http://dx.doi.org/10.3390/s21155238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347253/
https://www.ncbi.nlm.nih.gov/pubmed/34372475
http://dx.doi.org/10.3390/s21155238

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