All Stories

  1. Unsupervised Learning and Process Analysis for Sensor Data Validation in the IIoT
  2. Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
  3. 3D-DaVa: Enhancing 3D Point Cloud Data Reliability for Industrial Applications
  4. Editorial: Special Issue on Software Engineering and AI for Data Quality
  5. SEA4DQ 2024 Workshop Summary
  6. Engineering Carbon Emission-aware Machine Learning Pipelines
  7. REPTILE: a Tool for Replay-driven Continual Learning in IIoT
  8. Edge-based Data Profiling and Repair as a Service for IoT
  9. Automated Behavior Labeling for IIoT Data
  10. AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization
  11. A Systematic Review of Data Quality in CPS and IoT for Industry 4.0
  12. Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns
  13. Discovering high-level abstractions from time-varying manufacturing sensor data
  14. Software Engineering and AI for Data Quality in Cyber- Physical Systems - SEA4DQ'21 Workshop Report