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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Bibliographic Details

Published in:	Nuclear Engineering and Technology
Main Authors:	Se-Hwan Park, Byung-Hee Won, Seong-Kyu Ahn
Format:	Article
Language:	English
Published:	Elsevier 2025-02-01
Subjects:	Deep learning Semi-supervised learning Safeguards Pyroprocessing
Online Access:	http://www.sciencedirect.com/science/article/pii/S1738573324004546