All Stories

  1. Unsupervised Learning and Process Analysis for Sensor Data Validation in the IIoT
  2. Adaptable Runtime Monitoring for Intermittent Systems
  3. Engineering Carbon Emission-aware Machine Learning Pipelines
  4. REPTILE: a Tool for Replay-driven Continual Learning in IIoT
  5. Edge-based Data Profiling and Repair as a Service for IoT
  6. Automated Behavior Labeling for IIoT Data
  7. AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization
  8. A Systematic Review of Data Quality in CPS and IoT for Industry 4.0
  9. ETAP: Energy-aware Timing Analysis of Intermittent Programs
  10. Discovering high-level abstractions from time-varying manufacturing sensor data