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Publikationen

Zeige Ergebnisse 1101 bis 1110 von 15150.

  1. Daniel Büttner; Dirk Schöttke; Stephan Schäfer; Sönke Knoch; Daniel Porta; Tim Schwartz; Claudette Ocando Röhricht; Aaron Zielstorff; Andreas Bayha

    Adaptive Learning Paths for Industry 4.0 Competencies: Didactic Framework with Role- and Maturity-Based Differentiation Using the Asset Administration Shell

    In: Innovative Intelligent Industrial Production and Logistics. International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL-2025), Springer Nature Switzerland, 2025.

  2. Tobias Mahl; Sarah Rübel; Cai Hussung; Christian Köhler

    Geschäftsmodellinnovation in digitalen Ökosystemen - Ein Use-Case aus dem Bereich des E-Learnings im Kontext der beruflichen Weiterbildung

    In: Daniel Schallmo; Jens Uwe Pätzmann; Thomas Clauß; Verena Mattes. Entrepreneurship im digitalen Zeitalter - Fallstudien, Ansätze und Tools für Ökosysteme, Geschäftsmodelle und Technologien. Chapter 7, Geschäftsmodellinnovation in digitalen Ökosystemen, Pages 179-198, Schwerpunkt Business Model Innovation, ISBN 978-3-658-46409-7, Springer Gabler, Wiesbaden, 8/2025.

  3. Sabine Janzen; Kanav Avasthi; Behkam Fallah; Hannah Stein; Wolfgang Maaß

    Risk‑Optimized Mobility through Graph‑Based Prediction

    In: Proceedings of International Conference on Conceptual Modeling. International Conference on Conceptual Modeling (ER-2025), 10/2025.

  4. Lukas Malburg

    Adaptive Workflow Management for Cyber-Physical Systems - A Hybrid Approach Combining Experience-Based Learning and Automated Planning for Industry 4.0

    PhD-Thesis, Universität Trier, 2025.

  5. Mark Lunt; David Antony Selby; William Dixon

    Describing variability of intensively collected longitudinal ordinal data with latent spline models

    In: Scientific Reports (Sci Rep), Vol. 15, Pages 34151-34151, Springer Nature, 10/2025.

  6. Brian Moser; Federico Raue; Sebastian Palacio; Stanislav Frolov; Andreas Dengel

    Unlocking Dataset Distillation with Diffusion Models

    In: NeurIPS. Neural Information Processing Systems (NeurIPS-2025), December 2-7, San Diego, USA, NeurIPS, 2025.

  7. Brian Moser; Arundhati Shanbhag; Stanislav Frolov; Federico Raue; Joachim Folz; Andreas Dengel

    A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances

    In: ArXiv e-prints (arxiv), Vol. arxiv, Pages 0-0, arxiv, 2025.

  8. Pixi Kang; Julian Moosmann; Mengxi Liu; Bo Zhou; Michele Magno; Paul Lukowicz; Sizhen Bian

    Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning

    In: MobileHCI '25: Proceedings of the 27th International Conference on Mobile Human-Computer Interaction. ACM International Conference on Mobile Human-Computer Interaction (MobileHCI-2025), ACM, 9/2025.

  9. Luis Octavio Arriaga Camargo; Rebecca Adam; Melvin Laux; Lisa Gutzeit; Marco Ragni; Jan Peters; Frank Kirchner

    Bayesian Inverse Physics for Neuro-Symbolic Robot Learning

    In: Leilani Gilpin; Eleonora Giunchiglia; Pascal Hitzler; Emile van Krieken (Hrsg.). Neurosymbolic Artificial Intelligence, Pages 1-19, IOS Press, 2025.

  10. Philipp Richard; Alexis T. Bernhard; Andreas Luxenburger; Henning Gösling; Achim Wagner

    Agent-based Initialization of Autonomous Mobile Robots: Leveraging the Asset Administration Shell for automated Commissioning

    In: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2025), September 9-12, Porto, Portugal, IEEE, 2025.

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