Springer publication on IMPROVE available online
The IMPROVE consortium has recently published a Springer Special Edition on the project in which the partners give insights into different parts of their work and its results. The issue features articles on the following topics:
- Software Architecture for Unifying Data Transfer in Automated Production Systems
- Social Science in Engineering Projects
- Learning of Hybrid Timed Automata in Absence of Discrete Events
- Anomaly Detection and Localization for Cyber-Physical Production Systems
- Robust and Efficient Fault Detection in Industrial Automation Processes
- Validation of Similarity Measures for Industrial Alarm Flood Analysis
- Alarm Flood Reduction with Bayesian Networks
The publication is available here.