Classification of nuclear activity types for neighboring countries of South Korea using machine learning techniques with xenon isotopic activity ratios

The discrimination of the source for xenon gases' release can provide an important clue for detecting the nuclear activities in the neighboring countries. In this paper, three machine learning techniques, which are logistic regression, support vector machine (SVM), and k-nearest neighbors (KNN)...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Nuclear Engineering and Technology
المؤلفون الرئيسيون:	Sang-Kyung Lee, Ser Gi Hong
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Elsevier 2024-04-01
الموضوعات:	Nuclear threat Xenon isotopic activity ratio Logistic regression Support vector machine K-nearest neighbors
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S1738573323005429