• A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing 

      Isaja, Mauro; Nguyen, Phu Hong; Goknil, Arda; Sen, Sagar; Husom, Erik Johannes; Tverdal, Simeon; Anand, Abhilash Ramanathapuram; Jiang, Yunman; Pedersen, Karl John; Myrseth, Per; Stang, Jørgen; Niavis, Harris; Pfeifhofer, Simon; Lamplmair, Patrick (Peer reviewed; Journal article, 2023)
      There is a current wave of a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools to assure quality in smart factories. Such digital solutions heavily ...
    • Cybersecurity Awareness and Capacities of SMEs 

      Erdogan, Gencer; Halvorsrud, Ragnhild; Boletsis, Costas; Tverdal, Simeon; Pickering, J. Brian (Peer reviewed; Journal article, 2023)
      Small and Medium Enterprises (SMEs) are increasingly exposed to cyber risks. Some of the main reasons include budget constraints, the employees’ lack of cybersecurity awareness, cross-sectoral cyber risks, lack of security ...
    • Replay-Driven Continual Learning for the Industrial Internet of Things 

      Sen, Sagar; Nielsen, Simon; Husom, Erik Johannes; Goknil, Arda; Tverdal, Simeon; Pinilla, Leonardo (Chapter, 2023)
      The Industrial Internet of Things (IIoT) leverages thousands of interconnected sensors and computing devices to monitor and control large and complex industrial processes. Machine learning (ML) applications in IIoT use ...
    • Taming Data Quality in AI-Enabled Industrial Internet of Things 

      Sen, Sagar; Husom, Erik Johannes; Goknil, Arda; Tverdal, Simeon; Nguyen, Phu Hong; Mancisidor, Iker (Peer reviewed; Journal article, 2022)
      We address the problem of taming data quality in artificial intelligence (AI)-enabled Industrial Internet of Things systems by devising machine learning pipelines as part of a decentralized edge-to-cloud architecture. We ...
    • UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing 

      Husom, Erik Johannes; Tverdal, Simeon; Goknil, Arda; Sen, Sagar (Chapter, 2022)
      Manufacturing has enabled the mechanized mass production of the same (or similar) products by replacing craftsmen with assembly lines of machines. The quality of each product in an assembly line greatly hinges on continual ...
    • Uncertainty-aware Virtual Sensors for Cyber-Physical Systems 

      Sen, Sagar; Husom, Erik Johannes; Goknil, Arda; Tverdal, Simeon; Nguyen, Phu Hong (Peer reviewed; Journal article, 2023)
      We present a data pipeline to train and deploy uncertainty-aware virtual sensors in cyber-physical systems. Our virtual sensor predicts the expected values of a physical sensor and a standard deviation indicating the degree ...
    • Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline 

      Sen, Sagar; Husom, Erik Johannes; Goknil, Arda; Politaki, Dimitra; Tverdal, Simeon; Nguyen, Phu Hong; Jourdan, Nicolas (Peer reviewed; Journal article, 2023)
      Manufacturing converts raw materials into finished products using machine tools for controlled material removal or deposition. It can be observed using sensors installed within and around machine tools. These sensors measure ...