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Publications

Displaying results 291 to 300 of 682.

  1. Daniel Sonntag; Thiago Gouvea; Michael Barz; Aliki Anagnostopoulou; Siting Liang; Sara-Jane Bittner; Franziska Scheurer

    The Interactive Deep Learning Enterprise (No-IDLE) meets ChatGPT

    German Research Center for AI, DFKI Technical Report, 2024.

  2. Siddhant Shete; Raúl Domínguez; Ravisankar Selvaraju; Mariela De Lucas Alvarez; Frank Kirchner

    Prediction-Based Tip Over Prevention for Planetary Exploration Rovers

    In: Spiros Pantelakis; Andreas Strohmayer; Nikolaos Michailidis (Hrsg.). 14th EASN International Conference. EASN International Conference on Innovation in Aviation and Space for opening New Horizons, Innovation in Aviation & Space towards sustainability today & tomorrow, October 8-11, Thessaloniki, Greece, Engineering Proceedings Journal (Eng. Proc. 2025), Vol. 90(1), No. 44, MDPI, Thessaloniki, Greece, 3/2025.

  3. Tobias Wirth; Andrey Guzhov; Matthias Müller; Tobias Fischer; Lucas Howes; Dominik Ospelt

    AI combats Cybercrime - Deep Learning for Forensics

    In: Future Insight e.V. (Hrsg.). Curious 2024. Curious - Future Insight Conference (Curious-2024), July 10-11, Mainz, Germany, www.curiousfutureinsight.org, 7/2024.

  4. René Klaus Nikiel; Meghdad Mirabi; Carsten Binnig

    TrustDDL: A Privacy-Preserving Byzantine-Robust Distributed Deep Learning Framework

    In: 2024 54rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W 2024). Workshop on Dependable and Secure Machine Learning (DSML-2024), located at DSN 2024, June 24, Brisbane, Queensland, Australia, ISBN 979-8-3503-9572-3, IEEE, 2024.

  5. Ihab Alzalam; Rekha Reddy; Christoph Lipps; Hans Dieter Schotten

    5G Network Traffic Forecast Interface (5G-NTFI): An Open Source Framework Design for Reproducibility and Replicability

    In: European Wireless 2024. European Wireless (EW-2024), September 9-11, Brno, Czech Republic, IEEE, 2024.

  6. Faraz Ahmad; Tom Creutz; Christian Ernst Siegfried Koch; Bilal Wehbe

    A Deep-Learning Approach for Visual Detection of an AUV Docking Station

    In: Proceedings of Oceans 2024. OCEANS MTS/IEEE Conference (OCEANS-2024), Halifax, September 23-26, Halifax, Canada, IEEE, 2024.

  7. Fabian Schmeisser; Andreas Dengel; Sheraz Ahmed

    Point-Based Weakly Supervised 2.5D Cell Segmentation

    In: Michael Wand; Kristina Malinovska; Jürgen Schmidhuber; Igor V. Tetko (Hrsg.). 33rd International Conference on Artificial Neural Networks Lugano, Switzerland, September 17–20, 2024 Proceedings, Part VIII. International Conference on Artificial Neural Networks (ICANN-2024), Springer, 2024.

  8. Sebastian Germer; Christiane Rudolph; Louisa Labohm; Alexander Katalinic; Natalie Rath; Katharina Rausch; Bernd Holleczek; AI-Care Working Group; Heinz Handels

    Survival analysis for lung cancer patients: A comparison of Cox regression and machine learning models

    In: International Journal of Medical Informatics (IJMEDI), Vol. 191, Pages 105607-105607, Elsevier, 8/2024.

  9. Sungho Suh; Vitor Fortes Rey; Paul Lukowicz

    Wearable Sensor-Based Human Activity Recognition for Worker Safety in Manufacturing Line

    In: John Soldatos. Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI. Pages 303-317, ISBN 978-3-031-46452-2, Springer Nature Switzerland, Cham, 2024.

  10. Tae Yeob Kang; Haebom Lee; Sungho Suh

    An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-Parameter Patterns

    In: IEEE Transactions on Device and Materials Reliability, Vol. 24, No. 3, Pages 380-389, IEEE, 6/2024.

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