A Study on the Evaluation of Classification Performance by Capacity of Explosive Components using Convolution Neural Network (CNN)
Chang-Hyeon Lee, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Journal of Internet Computing and Services, Vol. 23, No. 4, pp. 11-19, Aug. 2022
10.7472/jksii.2022.23.4.11, Full Text:
Keywords: Deep Learning, explosive classification, abnormality detection system
Abstract
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Cite this article
[APA Style]
Lee, C., Cho, S., Kwon, K., & Im, T. (2022). A Study on the Evaluation of Classification Performance by Capacity of Explosive Components using Convolution Neural Network (CNN). Journal of Internet Computing and Services, 23(4), 11-19. DOI: 10.7472/jksii.2022.23.4.11.
[IEEE Style]
C. Lee, S. Cho, K. Kwon, T. Im, "A Study on the Evaluation of Classification Performance by Capacity of Explosive Components using Convolution Neural Network (CNN)," Journal of Internet Computing and Services, vol. 23, no. 4, pp. 11-19, 2022. DOI: 10.7472/jksii.2022.23.4.11.
[ACM Style]
Chang-Hyeon Lee, Sung-Yoon Cho, Ki-Won Kwon, and Tae-Ho Im. 2022. A Study on the Evaluation of Classification Performance by Capacity of Explosive Components using Convolution Neural Network (CNN). Journal of Internet Computing and Services, 23, 4, (2022), 11-19. DOI: 10.7472/jksii.2022.23.4.11.