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Enhancing asymmetric threat predictions via machine learning: insights from North Korea’s trash balloon incidents

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The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology

Published online on

Abstract

The Journal of Defense Modeling and Simulation, Ahead of Print.
North Korea’s trash balloons represent an unconventional asymmetric threat with psychological, environmental, and strategic implications. These balloons, launched under specific meteorological conditions, deliver propaganda materials, hazardous waste, or ...