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Conceptual Design of Radioactive Waste Classification Using an Object Recognition Technologies

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  • URLhttps://db.koreascholar.com/Article/Detail/389423
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한국방사성폐기물학회 학술논문요약집 (Abstracts of Proceedings of the Korean Radioactive Wasts Society)
한국방사성폐기물학회 (Korean Radioactive Waste Society)
목차
1. Introduction
2. Background
    2.1 Overview
    2.2 Comparing conventional methods and new technologies
    2.3 Advantages of deep learning for classification of the radioactive wastes
3. Conclusion
REFERENCES
저자
  • Hee-Seoung Park(Korea Atomic Energy Research Institute)
  • Dae-Seok Hong(Korea Atomic Energy Research Institute)
  • Jeong-Guk Kim(Korea Atomic Energy Research Institute)
  • Il-Sik Kang(Korea Atomic Energy Research Institute)
  • Dong-Ju Lee(Korea Atomic Energy Research Institute)
  • Sung-Chan Jang(Korea Atomic Energy Research Institute)