Nuclear Technology
Volume 210, 2024 - Issue 1
Open access
933
Views
0
CrossRef citations to date
0
Altmetric
Research Articles
Examination of Deep Learning Algorithm for Nuclear Proliferation Risk Modeling
Philseo Kima Texas A&M University, Center for Nuclear Security Science and Policy Initiatives, College Station, Texas;b Korea Advanced Institute of Science and Technology, Department of Nuclear and Quantum Engineering, Daejeon, Korea
https://orcid.org/0000-0002-9354-1468View further author information
Man-Sung Yimb Korea Advanced Institute of Science and Technology, Department of Nuclear and Quantum Engineering, Daejeon, KoreaCorrespondence[email protected]
https://orcid.org/0000-0001-8581-1635View further author information
Justin V. Hastingsc University of Sydney, Department of Government and International Relations, Sydney, AustraliaView further author information
& Philip Baxterd State University of New York, University at Albany, Center for Policy Research, Albany, New YorkView further author information
Pages 84-99
|
Received 27 Mar 2022, Accepted 22 May 2023, Published online: 13 Jul 2023
Reprints and Permissions
This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, reproduction in any medium, provided the original work is properly cited.
You are not required to obtain permission to reuse this article in part or whole.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.