Safeguards-related event detection in surveillance video using semi-supervised learning approach
We develop a deep learning model employing a semi-supervised learning approach, which can detect automatically safeguards-related events in nuclear facility from surveillance video. Our model is designed after a comprehensive analysis of the trends in artificial intelligence-based models to identify...
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Main Authors: | Se-Hwan Park, Byung-Hee Won, Seong-Kyu Ahn |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
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Series: | Nuclear Engineering and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573324004546 |
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