Blar i NTNU Open på forfatter "Zhou, Baifan"

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    • The Data Value Quest: A Holistic Semantic Approach at Bosch 

      Zhou, Baifan; Zheng, Zhuoxun; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Trung-Kien, Tran; Stepanova, Daria; Gad-Elrab, Mohamed H.; Nikolov, Nikolay; Soylu, Ahmet; Kharlamov, Evgeny (Journal article; Peer reviewed, 2022)
      Modern industry witnesses a fast growth in volume and complexity of heterogeneous manufacturing (big) data [1, 2] thanks to the technological advances of Industry 4.0 [1, 3], including development in perception, communication, ...

    • Development and Evaluation of an Industrial Condition Monitoring System based on Semantic Technologies and Machine Learning 

      Gusmao, Andre Silva (Master thesis, 2022)
      Ensuring the quality of industrial processes product and keeping the cost involved low is highly valuable and desirable among various companies. The quality of a product can be affected by different factors in the production ...

    • SemML: Facilitating development of ML models for condition monitoring with semantics 

      Zhou, Baifan; Svetashova, Yulia; Silva Gusmao, Andre; Soylu, Ahmet; Cheng, Gong; Miku, Ralf; Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny (Peer reviewed; Journal article, 2021)
      Monitoring of the state, performance, quality of operations and other parameters of equipment and production processes, which is typically referred to as condition monitoring, is an important common practice in many ...