Radiation Sensor Placement using Reinforcement Learning in Nuclear Security Applications
Author:
Affiliation:
1. University of Texas at San Antonio,Dept. of Electrical and Computer Engineering,San Antonio,TX,USA
Funder
National Nuclear Security Administration
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9903994/9904331/09904349.pdf?arnumber=9904349
Reference12 articles.
1. Geometrically optimized, Labr3: Ce scintillation sensor array for enhanced stand-off direction finding of gamma radiation sources
2. Reconstruction of Compton Edges in Plastic Gamma Spectra Using Deep Autoencoder
3. Radiation Source Localization Using Surrogate Models Constructed from 3-D Monte Carlo Transport Physics Simulations
4. Short-term gamma background anticipation using learning Gaussian processes
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Constrained Optimization of Sensor Placement for Nuclear Digital Twins;IEEE Sensors Journal;2024-05-01
2. Sequential Deployment of Mobile Radiation Sensor Network Using Reinforcement Learning in Radioactive Source Search;Nuclear Technology;2023-07-21
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