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Graph-structured data generation and analysis for anomaly detection in an automated manufacturing process
Kim, Namki;
Gao, Xinpu;
Yang, Jeongsam
2024-10-01
Journal of Mechanical Science and Technology, Vol.38, pp.5617-5625
Korean Society of Mechanical Engineers
MPFDT: A Fault and Anomaly Diagnosis Tool for PLC Controlled Manufacturing Systems
ARUP GHOSH
2018-08
The Graduate School, Ajou University
A novel automata and neural network based fault diagnosis system for PLC controlled manufacturing systems
Ghosh, Arup;
Wang, Gi Nam;
Lee, Jooyeoun
2020-01-01
Computers and Industrial Engineering, Vol.139
Elsevier Ltd
클라우드 기반 진화 학습하는 스마트 공정진단분석 프레임워크
김남준
2018-02
The Graduate School, Ajou University
Attention-guided residual frame learning for video anomaly detection
Yu, Jun Hyung;
Moon, Jeong Hyeon;
Sohn, Kyung Ah
2023-03-01
Multimedia Tools and Applications, Vol.82, pp.12099-12116
Springer
Multimodel-based Detection Framework for Robust Industrial Control Systems
이석준
2017-02
The Graduate School, Ajou University
A Comprehensive Network Anomaly Detection Framework based on Protocol Reverse Engineering for Industrial Control System
김현진
2022-02
The Graduate School, Ajou University
Industrial network-based behavioral anomaly detection in AI-enabled smart manufacturing
oa mark
Kim, Hyun Jin;
Shon, Taeshik
2022-07-01
Journal of Supercomputing, Vol.78, pp.13554-13563
Springer
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Lee, Kyo-Beum
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Min, Ji Hye
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Noh, Choong Kyun
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SHON, TAE SHIK
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Deep learning
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anomaly detection
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PLC
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European Radiology
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