• Anomaly detection in industrial time series sensor data 

      Cherednikov, Ivan (Master thesis, 2023)
      Anomaly detection in industrial time series data is essential for identifying and preventing potential issues in production processes, ensuring high product quality and reducing downtime. This master's thesis investigates ...
    • Preprocessing of industrial time series for soft sensor development 

      Sedal, Astrid Hæve (Master thesis, 2023)
      With increasing population growth, the demand for food and proteins rises. The need for protein from poultry is projected to increase by 17.8% by 2030, and poultry production in Norway has never been higher. Nortura at ...