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Nuclear Technology Volume 207, 2021 - Issue 1
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Technical Papers

Radiation Source Localization Using Surrogate Models Constructed from 3-D Monte Carlo Transport Physics Simulations

Paul R. Milesa North Carolina State University, Department of Mathematics, Raleigh, North Carolina27695ORCID Iconhttps://orcid.org/0000-0002-7501-5114
ORCID Icon,
Jared A. Cooka North Carolina State University, Department of Mathematics, Raleigh, North Carolina27695
,
Zoey V. Angersb University of Michigan, Department of Nuclear Engineering and Radiological Sciences, Ann Arbor, Michigan48109
,
Christopher J. Swensonb University of Michigan, Department of Nuclear Engineering and Radiological Sciences, Ann Arbor, Michigan48109
,
Brian C. Kiedrowskib University of Michigan, Department of Nuclear Engineering and Radiological Sciences, Ann Arbor, Michigan48109ORCID Iconhttps://orcid.org/0000-0001-8517-4410
ORCID Icon,
John Mattinglyc North Carolina State University, Department of Nuclear Engineering, Raleigh, North Carolina27695
&
Ralph C. Smitha North Carolina State University, Department of Mathematics, Raleigh, North Carolina27695Correspondence[email protected]
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Pages 37-53 | Received 03 Jan 2020, Accepted 02 Mar 2020, Published online: 29 May 2020

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Siyao Gu & Miltiadis Alamaniotis. (2024) Sequential Deployment of Mobile Radiation Sensor Network Using Reinforcement Learning in Radioactive Source Search. Nuclear Technology 210:1, pages 100-111.
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Articles from other publishers (8)

Yizhi Cao, Zhaoran Liu, Yunlong Niu & Xinggao Liu. (2023) A novel transformer-based method for predicting air absorbed dose rates in nuclear radiation environmental monitoring. Heliyon 9:9, pages e19870.
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András Molnár, Daniel Kiss & Zsolt Domozi. (2023) Radiation Source Localization Using a Model-Based Approach. Sensors 23:13, pages 5983.
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M. Rahman, Abid Hossain Khan, Sayeed Anowar, Md Al-Imran, Richa Verma, Dinesh Kumar, Kazuma Kobayashi & Syed Alam. 2023. Handbook of Smart Energy Systems. Handbook of Smart Energy Systems 2217 2236 .
Yilin Liao, Wenhai Wang, Zeyin Zhang, Shunping Zhao, Yunlong Niu & Xinggao Liu. (2022) A novel method based on adaptive autoencoder and improved long short-term memory and gated recurrent unit for nuclear radiation measurement and monitoring. Measurement 199, pages 111571.
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Siyao Gu & Miltiadis Alamaniotis. (2022) Radiation Sensor Placement using Reinforcement Learning in Nuclear Security Applications. Radiation Sensor Placement using Reinforcement Learning in Nuclear Security Applications.
Gregory R. Romanchek & Shiva Abbaszadeh. (2022) Investigating the Interpretability of ML-Guided Radiological Source Searches. IEEE Access 10, pages 78159-78167.
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Miltiadis Alamaniotis & Alexander Heifetz. 2022. Advances in Machine Learning/Deep Learning-based Technologies. Advances in Machine Learning/Deep Learning-based Technologies 97 115 .
M. Rahman, Abid Khan, Sayeed Anowar, Md Al-Imran, Richa Verma, Dinesh Kumar, Kazuma Kobayashi & Syed Alam. 2021. Handbook of Smart Energy Systems. Handbook of Smart Energy Systems 1 20 .

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