Peng Yan

Projekte

• DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning / Teammitglied / abgeschlossen

Publikationen

• Yan, Peng; Abdulkadir, Ahmed; Luley, Paul-Philipp; Rosenthal, Matthias; Schatte, Gerrit A.; Grewe, Benjamin F.; Stadelmann, Thilo,

  2024.

  A comprehensive survey of deep transfer learning for anomaly detection in industrial time series : methods, applications, and directions.

  IEEE Access.

  12, S. 3768-3789.

  Verfügbar unter: https://doi.org/10.1109/ACCESS.2023.3349132

• Yan, Peng; Abdulkadir, Ahmed; Aguzzi, Giulia; Schatte, Gerrit A.; Grewe, Benjamin F.; Stadelmann, Thilo,

  2024.

  Automated process monitoring in injection molding via representation learning and setpoint regression [Paper].

  In:

  2024 11th IEEE Swiss Conference on Data Science (SDS).

  11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.

  IEEE.

  S. 138-145.

  Verfügbar unter: https://doi.org/10.1109/SDS60720.2024.00027

• Luley, Paul-Philipp; Deriu, Jan Milan; Yan, Peng; Schatte, Gerrit A.; Stadelmann, Thilo,

  2023.

  From concept to implementation : the data-centric development process for AI in industry [Paper].

  In:

  2023 10th IEEE Swiss Conference on Data Science (SDS).

  10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023.

  IEEE.

  S. 73-76.

  Verfügbar unter: https://doi.org/10.1109/SDS57534.2023.00017

Zurück