Classification of Nuclear Reactor Operations Using Spatial Importance and Multisensor Networks

Classification of Nuclear Reactor Operations Using Spatial Importance and Multisensor Networks

Distributed multisensor networks record multiple data streams that can be used as inputs to machine learning models designed to classify operations relevant to proliferation at nuclear reactors. The goal of this work is to demonstrate methods to assess the importance of each node (a single multisens...

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Bibliographic Details
Main Authors: Jake Tibbetts, Bethany L. Goldblum, Christopher Stewart, Arman Hashemizadeh
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Journal of Nuclear Engineering
Subjects:
machine learning
neural network
hidden Markov model
explainability
nuclear security
multisensor networks
Online Access:https://www.mdpi.com/2673-4362/3/4/14

Internet

https://www.mdpi.com/2673-4362/3/4/14

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