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Publications

Displaying results 11 to 20 of 571.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Parham Zolfaghari; Vitor Fortes Rey; Lala Ray; Hyun Kim; Sungho Suh; Paul Lukowicz

    Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition

    In: 2024 International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC-2024), Pages 1-8, IEEE, 2024.

  7. Hyungmin Kim; Donghun Kim; Pyunghwan Ahn; Sungho Suh; Hansang Cho; Junmo Kim

    ContextMix: A context-aware data augmentation method for industrial visual inspection systems

    In: International Journal Engineering Applications of Artificial Intelligence (EAAI), Vol. 131, Page 107842, Elsevier, 2024.

  8. 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.

  9. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmueller

    Improving Deep Learning Change Detection in Automotive Radar Maps by Data Augmentation

    In: Proceedings of the International Conference Radar. International Conference Radar (RADAR-2024), October 21-25, Rennes, France, Pages 56-61, IEEE, 2024.

  10. Alexander Michael Rombach; Johannes Lahann; Tim Niesen; Peter Fettke

    Utilizing Deep Learning for Field-Level Information Extraction from German Real Estate Tax Notices

    In: Journal of Emerging Technologies in Accounting (JETA), Vol. 22, Pages 1-18, American Accounting Association, 12/2024.

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