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.