Neural Network Approaches for Mobile Spectroscopic Gamma-Ray Source Detection

Neural Network Approaches for Mobile Spectroscopic Gamma-Ray Source Detection

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 environments more relevant to nuclear safety and s...

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Bibliographic Details
Main Authors: Kyle J. Bilton, Tenzing H. Y. Joshi, Mark S. Bandstra, Joseph C. Curtis, Daniel Hellfeld, Kai Vetter
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Journal of Nuclear Engineering
Subjects:
gamma-ray source identification
gamma-ray spectroscopy
neural networks
machine learning
classification
Online Access:https://www.mdpi.com/2673-4362/2/2/18

Internet

https://www.mdpi.com/2673-4362/2/2/18

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