All Stories

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