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Publications

Displaying results 31 to 40 of 578.
  1. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmüller

    Change Detection in Automotive Radar Based Occupancy Maps Using Siamese Networks

    In: 2024 International Radar Symposium (IRS). International Radar Symposium (IRS-2024), located at Microwave and Radar Week (MRW 2024), July 2-4, Poland, Pages 56-61, IEEE, 2024.

  2. Dan Hudson; Jurgen van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller

    Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults

    In: Proceedings 2024 IEEE Conference on Artificial Intelligence (CAI). IEEE Conference on Artificial Intelligence (CAI-2024), June 25-27, Marina Bay Sands, Singapore, Pages 1350-1356, IEEE Xplore, 2024.

  3. Jurgen Van Den Hoogen; Dan Hudson; Martin Atzmueller

    Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters

    In: Proc. IEEE International Conference on Data Engineering Workshops (ICDEW). IEEE International Conference on Data Engineering (ICDE-2024), Pages 91-95, IEEE, 2024.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python

    In: Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2024), Merida, Mexico, Pages 289-304, Lecture Notes in Computer Science (LNCS), Vol. 14775, ISBN 978-3-031-63646-2, Springer Nature Switzerland, Cham, 2024.