Developing a Deep Learning Model for Predicting Internal Decontamination Levels in Radioactively Contaminated - koreascholar

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Developing a Deep Learning Model for Predicting Internal Decontamination Levels in Radioactively Contaminated

Sia Hwang, Hee Reyoung Kim

언어ENG
URLhttps://db.koreascholar.com/Article/Detail/436145

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한국방사성폐기물학회 학술논문요약집 (Abstracts of Proceedings of the Korean Radioactive Wasts Society)

2024 춘계학술발표회 논문요약집 (2024.05)
p.323

한국방사성폐기물학회 (Korean Radioactive Waste Society)

키워드

Nuclear decommissioning Artificial intelligence Image segmentation Radioactive waste management Decontamination monitoring

저자

Sia Hwang(Ulsan National Institute of Science and Technology (UNIST)) Corresponding author
Hee Reyoung Kim(Ulsan National Institute of Science and Technology (UNIST))

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