A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data

The detection of illicit radiological materials is critical to establishing a robust second line of defence in nuclear security. Neutron-capture prompt-gamma activation analysis (PGAA) can be used to detect multiple radioactive materials across the entire Periodic Table. However, long detection time...

Descripción completa

Detalles Bibliográficos
Autores principales: Mathew, Jino, Kshirsagar, Rohit, Abidin, Dzariff Z., Griffin, James, Kanarachos, Stratis, James, Jithin, Alamaniotis, Miltiadis, Fitzpatrick, Michael E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279725/
https://www.ncbi.nlm.nih.gov/pubmed/37336914
http://dx.doi.org/10.1038/s41598-023-36832-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279725/
https://www.ncbi.nlm.nih.gov/pubmed/37336914
http://dx.doi.org/10.1038/s41598-023-36832-8

Ejemplares similares