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Publikationen

Zeige Ergebnisse 1101 bis 1110 von 14394.

  1. Wei Jiang; Qiuheng Zhou; Jiguang He; Mohammad Asif Habibi; Sergiy Melnyk; Mohammed El-Absi; Bin Han; Marco Di Renzo; Hans Dieter Schotten; Fa-Long Luo; Tarek S. El-Bawab; Markku Juntti; Merouane Debbah; Victor C. M. Leung

    Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review

    In: IEEE Communications Surveys & Tutorials, Vol. 26, Pages 1-56, IEEE Xplore, 12/2024.

  2. Niko Kleer; Martin Feick; Florian Daiber; Michael Feld

    Towards Remote Expert Supported Autonomous Assistant Robots in Shopping Environments

    In: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction (HRI-2024), March 11-14, Boulder, CO, USA, Pages 613-617, ISBN 979-8-4007-0323-2, ACM, 2024.

  3. Mark Niemeyer; Julian Arkenau; Sebastian Pütz; Joachim Hertzberg

    Streamlined Acquisition of Large Sensor Data for Autonomous Mobile Robots to Enable Efficient Creation and Analysis of Datasets

    In: 2024 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2024), May 13-17, Yokohama, Japan, Pages 15804-15810, IEEE, 2024.

  4. Julie Gandrup; David Antony Selby; William Dixon

    Classifying self-reported rheumatoid arthritis flares using daily patient-generated data from a smartphone app: exploratory analysis applying machine learning approaches

    In: JMIR Formative Research (JMIR Form Res), Vol. 8, Page e50679, JMIR Publications, 5/2024.

  5. David Antony Selby; Kai Spriestersbach; Yuichiro Iwashita; Dennis Bappert; Archana Warrier; Sumantrak Mukherjee; Muhammad Nabeel Asim; Koichi Kise; Sebastian Vollmer

    Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models

    In: NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty. Neural Information Processing Systems (NeurIPS-2024), Workshop on Bayesian Decision-making and Uncertainty, located at NeuIPS-2024, December 14, Vancouver, BC, Canada, NeurIps Foundation, 2024.

  6. Ihab Alzalam; Christoph Lipps; Hans Dieter Schotten

    Time-Series Forecasting Models for 5G Mobile Networks: A Comparative Study in a Cloud Implementation

    In: IEEE 15th International Conference on Network of the Future. International Conference on Network of the Future (NoF-2024), October 2-4, Castelldefels (Barcelona), Spain, IEEE, 2024.

  7. Mahta Bakhshizadeh; Heiko Maus; Andreas Dengel

    Using Semantic-based Adaptive Relevance Prediction to Enhance Entity Recommendation for Personal Knowledge Assistance

    In: Proceedings of the sixth Knowledge-aware and Conversational Recommender Systems Workshop. Knowledge-aware and Conversational Recommender Systems Workshop (KaRS-2024), October 18, Bari, Italy, Association for Computing Machinery, 2024.

  8. Ahmed Tawfik Aboukhadra; Jameel Malik; Nadia Robertini; Ahmed Elhayek; Didier Stricker

    ShapeGraFormer: GraFormer-Based Network for Hand-Object Reconstruction From a Single Depth Map

    In: IEEE Access (IEEE), Vol. 12, Pages 124021-124031, IEEE, 8/2024.

  9. Cicy Agnes; Wolfgang Maaß

    From Stateless to Adaptive: Dynamic Personalization for Conversational Language Models

    In: Women in Machine Learning Workshop (WiML 2024) at NeurIPS. Neural Information Processing Systems (NeurIPS-2024), Thirty-eighth Annual Conference on Neural Information Processing Systems, December 9-15, Vancouver, British Columbia, Canada, Women in Machine Learning Workshop (WiML 2024), 12/2024.

  10. Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel

    Quantum Annealing-Based Method for Efficient Coalition Formation Among LEO Satellites

    In: IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE International Workshop on Quantum Software Engineering and Technology (Q-SET-2024), located at IEEE Quantum Week, September 18, Montreal, Canada, IEEE Xplore, 2024.

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