Enhancing Cyber-Physical System Analysis with Structure-Aware Modular Neural Networks
Author:
Affiliation:
1. Institute of Automation Technology Helmut Schmidt University,Hamburg,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10639954/10639940/10640056.pdf?arnumber=10640056
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1. Industrial Anomaly Detection: A Comparison of Unsupervised Neural Network Architectures
2. Anomaly detection based on time series data from industrial automatic sewing machines
3. Machine Learning for Cyber-Physical Systems
4. Transparency and the Black Box Problem: Why We Do Not Trust AI
5. A review of the diagnosability of control systems with applications to spacecraft
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