Examination of Deep Learning Algorithm for Nuclear Proliferation Risk Modeling

References

• R. S. KEMP, “The Nonproliferation Emperor Has No Clothes: The Gas Centrifuge, Supply-Side Controls, and the Future of Nuclear Proliferation,” Int. Secur., 38, 4, 39 (2014); http://dx.doi.org/10.1162/ISEC_a_00159.
   Web of Science ®Google Scholar
• S. M. MEYER, The Dynamics of Nuclear Proliferation, University of Chicago Press (1986).
   Google Scholar
• S. D. SAGAN, “Why Do States Build Nuclear Weapons? Three Models in Search of a Bomb,” Int. Secur., 21, 3, 54 (1996); http://dx.doi.org/10.2307/2539273.
   Web of Science ®Google Scholar
• S. SINGH and C. R. WAY, “The Correlates of Nuclear Proliferation: A Quantitative Test,” J. Conflict Resolut., 48, 6, 859 (2004); http://dx.doi.org/10.1177/0022002704269655.
   Web of Science ®Google Scholar
• D. JO and E. GARTZKE, “Determinants of Nuclear Weapons Proliferation,” J. Conflict Resolut., 51, 1, 167 (2007); http://dx.doi.org/10.1177/0022002706296158.
   Web of Science ®Google Scholar
• M. FUHRMANN, “Spreading Temptation: Proliferation and Peaceful Nuclear Cooperation Agreements,” Int. Secur., 34, 7, 7 (2009); http://dx.doi.org/10.7591/cornell/9780801450907.003.0008.
   Google Scholar
• M. KROENIG, “Importing the Bomb: Sensitive Nuclear Assistance and Nuclear Proliferation,” J. Conflict Resolut., 53, 2, 161 (2009); http://dx.doi.org/10.1177/0022002708330287.
   Web of Science ®Google Scholar
• J. LI, M. S. YIM, and D. N. MCNELIS, “Model-Based Calculations of the Probability of a Country’s Nuclear Proliferation Decisions,” Prog. Nucl. Energy, 52, 8, 789 (2010); http://dx.doi.org/10.1016/j.pnucene.2010.07.001.
   Web of Science ®Google Scholar
• R. L. BROWN and J. M. KAPLOW, “Talking Peace, Making Weapons: IAEA Technical Cooperation and Nuclear Proliferation,” J. Conflict Resolut., 58, 3, 402 (2014); http://dx.doi.org/10.1177/0022002713509052.
   Web of Science ®Google Scholar
• M. S. BELL, “Examining Explanations for Nuclear Proliferation,” Int. Stud. Q., 60, 3, 520 (2016); http://dx.doi.org/10.1093/isq/sqv007.
   Web of Science ®Google Scholar
• M. S. YIM and J. LI, “Examining Relationship Between Nuclear Proliferation and Civilian Nuclear Power Development,” Prog. Nucl. Energy, 66, 108 (2013); http://dx.doi.org/10.1016/j.pnucene.2013.03.005.
   Web of Science ®Google Scholar
• M. FUHRMANN, Atomic Assistance: How “Atoms for Peace” Programs Cause Nuclear Insecurity, Cornell University Press (2012).
   Google Scholar
• J. V. HASTINGS, A. N. STULBERG, and P. BAXTER, “Technology, Materials, and Knowledge Transfer in Nuclear Proliferation Networks: Findings and Implications,” University of Sydney (2015).
   Google Scholar
• P. BAXTER et al., “Mapping the Development of North Korea’s Domestic Nuclear Research Networks,” Rev. Policy Res., 39, 2, 219 (2022); http://dx.doi.org/10.1111/ropr.12462.
   Web of Science ®Google Scholar
• J. E. C. HYMANS, Achieving Nuclear Ambitions: Scientists, Politicians, and Proliferation, Cambridge University Press (2012).
   Google Scholar
• A. H. MONTGOMERY, “Stop Helping Me: When Nuclear Assistance Impedes Nuclear Programs,” in The Nuclear Renaissance and International Security, A. STULBERG and M. FUHRMANN Eds., pp. 177–202, Stanford University Press (2013).
   Google Scholar
• P. M. BAXTER, “Nuclear Communities: Epistemic Community Structure and Nuclear Proliferation Latency,” Georgia Institute of Technology (2021).
   Google Scholar
• J. M. KAPLOW and E. GARTZKE, “Predicting Proliferation: High Reliability Forecasting Models of Nuclear Proliferation as a Policy and Analytical Aid,” Center on Contemporary Conflict (CCC) Project on Advanced Systems and Concepts for Countering Weapons of Mass Destruction (PASCC). Reports (2016).
   Google Scholar
• P. C. BLEEK, “When Did (and Didn’t) States Proliferate? Chronicling the Spread of Nuclear Weapons,” Belfer Center for Science and International Affairs (2017).
   Google Scholar
• J. D. SINGER, “Reconstructing the Correlates of War Dataset on Material Capabilities of States, 1816–1985,” Int. Interact., 14, 2, 115 (1988); http://dx.doi.org/10.1080/03050628808434695.
   Google Scholar
• M. FUHRMANN and B. TKACH, “Almost Nuclear: Introducing the Nuclear Latency Dataset,” Confl. Manag. Peace Sci., 32, 4, 443 (2015); http://dx.doi.org/10.1177/0738894214559672.
   Web of Science ®Google Scholar
• M. KROENIG, “Exporting the Bomb: Why States Provide Sensitive Nuclear Assistance,” Am. Polit. Sci. Rev., 103, 1, 113 (2009); http://dx.doi.org/10.1017/S0003055409090017.
   Web of Science ®Google Scholar
• “List of Member States,” International Atomic Energy Agency; https://www.iaea.org/about/governance/list-of-member-states ( current as of Mar. 20, 2020).
   Google Scholar
• P. KIM, J. KIM, and M. YIM, “Assessing Proliferation Uncertainty in Civilian Nuclear Cooperation Under New Power Dynamics of the International Nuclear Trade,” Energy Policy., 163, 112852 (Feb. 2022); http://dx.doi.org/10.1016/j.enpol.2022.112852.
   Web of Science ®Google Scholar
• S. RAVICHANDIRAN, Hands-on Deep Learning Algorithms with Python: Master Deep Learning Algorithms with Extensive Math by Implementing Them Using Tensorflow, Packt Publishing Ltd (2019).
   Google Scholar
• A. GÉRON, Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, O’Reilly Media (2019).
   Google Scholar
• S. IOFFE and C. SZEGEDY, “Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift,” Proc. Int. Conf. on Machine Learning, p. 448, Proceedings of Machine Learning Research (2015).
   Google Scholar