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Found 5 papers, 1 papers with code
Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
In Industry 4. 0, Cyber-Physical Systems (CPS) generate vast data sets that can be leveraged by Artificial Intelligence (AI) for applications including predictive maintenance and production planning.
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study
Deep learning (DL) models have seen increased attention for time series forecasting, yet the application on cyber-physical systems (CPS) is hindered by the lacking robustness of these methods.
On a Uniform Causality Model for Industrial Automation
A promising approach to deal with this complexity is the concept of causality.
A Research Agenda for AI Planning in the Field of Flexible Production Systems
Manufacturing companies face challenges when it comes to quickly adapting their production control to fluctuating demands or changing requirements.
Learning Physical Concepts in Cyber-Physical Systems: A Case Study
In Cyber-Physical Systems (CPS), ML can for example be used to optimize systems, to detect anomalies or to identify root causes of system failures.
