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Publikationen

Zeige Ergebnisse 1511 bis 1520 von 15039.

  1. Maxx Richard Rahman; Wolfgang Maaß

    Generative Artificial Intelligence in Anti-doping Analysis in Sports

    In: Carlo Dindorf; Eva Bartaguiz; Freya Gassmann; Michael Fröhlich. Artificial Intelligence in Sports, Movement, and Health. Chapter 6, Pages 81-93, Springer, 9/2024.

  2. Muhammad Muaz; Ingo Zinnikus; Mahnoor Shahid

    NILM domain adaptation: When does it work?

    In: 2024 10th International Conference on Smart Computing and Communication (ICSCC 2024). International Conference on Smart Computing and Communication (ICSCC-2024), July 25-27, Bali, Indonesia, Pages 524-528, ISBN 979-8-3503-6311-1, IEEE, 2024.

  3. Vamsi Krishna Origanti; Adrian Danzglock

    Assembly Dataset for Contact Based tasks for Learning from Demonstration

    Zenodo, 2024.

  4. Melya Boukheddimi; Ivan Bergonzani; Shivesh Kumar; Heiner Peters; Frank Kirchner

    RH5 Pedes humanoid

    In: Shivesh Kumar; Andreas Müller; Frank Kirchner (Hrsg.). Biologically Inspired Series-Parallel Hybrid Robots. Chapter 15, Pages 333-353, Vol. 1, ISBN 978-0-323-88482-2, Academic Press, 12/2024.

  5. Mohammad Reza Heidari Iman; Sallar Ahmadi-Pour; Rolf Drechsler; Tara Ghasempouri

    Processor Vulnerability Detection with the Aid of Assertions: RISC-V Case Study

    In: IEEE Nordic Circuits and Systems Conference (NorCAS). IEEE Nordic Circuits and Systems Conference (NorCAS-2024), October 29-30, Lund, Sweden, 2024.

  6. Elke Warmerdam; Christian Wolff; Marcel Orth; Tim Pohlemann; Bergita Ganse

    Long-term continuous instrumented insole-based gait analyses in daily life have advantages over longitudinal gait analyses in the lab to monitor healing of tibial fractures

    In: Frontiers in Bioengineering and Biotechnology, Vol. 12, Pages 0-0, Frontiers, 2024.

  7. Christian Wolff; Elke Warmerdam; Tim Dahmen; Tim Pohlemann; Philipp Slusallek; Bergita Ganse

    Novel ground reaction force-based parameters for monitoring rehabilitation in tibial fractures

    In: Gait & Posture, Vol. 113, Pages 256-257, Elsevier, 2024.

  8. Leonhard Kunz; Manuel Reif; Teresa Petzsche; Anne Schmallenbach; Christiane Plociennik; Martin Ruskowski

    Realizing Closed-Loop Supply Chain Networks based on Dataspaces and Manufacturing Marketplaces

    In: IFAC-PapersOnLine. IFAC Symposium on Information Control Problems in Manufacturing (INCOM-2024), Pages 235-240, Vol. 58, Elsevier, 1/2024.

  9. Ahmed Tawfik Aboukhadra; Nadia Robertini; Jameel Malik; Ahmed Elhayek; Gerd Reis; Didier Stricker

    SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network

    In: Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Proceedings. German Conference on Pattern Recognition (GCPR-2024), September 10-13, Munich, Germany, Lecture Notes in Computer Science, Vol. 15297, Springer Nature, 2024.

  10. Martin Kuhn; Joscha Grüger; Christoph Matheja; Andrey Rivkin

    LogPPL: A Tool for Probabilistic Process Mining

    In: Jochen De Weerdt; Giovanni Meroni; Han van der Aa; Karolin Winter (Hrsg.). ICPM Doctoral Consortium and Demo Track 2024. International Conference on Process Mining (ICPM-2024), 6th International Conference on Process Mining (ICPM 2024), located at ICPM 2024, October 14-18, Copenhagen, Denmark, Vol. 3783, CEUR Workshop Proceedings, 10/2024.

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