Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1211 bis 1220 von 14485.

  1. Sana Hassan Imam; Christopher A. Metz; Lars Hornuf; Rolf Drechsler

    Determining the Effect of Feedback Quality on User Engagement on Online Idea Crowdsourcing Platforms Using an AI model | Proceedings of the ACM on Human-Computer Interaction

    In: Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Vol. 8, ACM, 2024.

  2. Chi Zhang; Janis Sprenger; Zhongjun Ni; Christian Berger

    Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability

    In: IEEE Transactions on Intelligent Vehicles (T-IV), Vol. 1, Pages 1-16, IEEE, 12/2024.

  3. Miro Miranda Lorenz; Marcela Charfuelan; Andreas Dengel

    Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting

    In: Tackling Climate Change with Machine Learning (Hrsg.). NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning. Neural Information Processing Systems (NeurIPS-2024), NeurIPS 2024, located at NeurIPS, December 10-15, Vancouver, Britsh Columbia, Canada, DFKI Research Reports (RR), NeurIPS, 2024.

  4. Dennis Mronga; Frank Kirchner

    The ARC-OPT Library for Whole-Body Control of Robotic Systems

    In: Journal of Open Source Software (JOSS), Vol. 9, No. 104, Pages *-*, The Open Journal, 2024.

  5. Pascal Rübel; Simon Jungbluth; William Motsch; Martin Ruskowski

    Automated Communication for Fault Diagnosis in Flexible Production Environments

    In: Yi-Chi Wang; Siu Hang Chan; Zih-Huei Wang (Hrsg.). Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order. International Conference on Flexible Automation and Intelligent Manufacturing (FAIM-2024), Cham, Pages 185-196, ISBN 978-3-031-74485-3, Springer Nature Switzerland, 2024.

  6. Luis Octavio Arriaga Camargo; Jichen Guo; Rebecca Adam; Sebastian Houben; Frank Kirchner

    Bayesian Inverse Graphics for Few-Shot Concept Learning

    In: International Conference on Neural-Symbolic Learning and Reasoning 2024. International Conference on Neural-Symbolic Learning and Reasoning (NeSy-2024), Pages 141-165, Springer, 2024.

  7. Mario Klostermeier; Vassilios Yfantis; Achim Wagner; Martin Ruskowski

    A Numerical Study on the Parallelization of Dual Decomposition-based Distributed Mixed-Integer Programming

    In: 2024 European Control Conference (ECC). European Control Conference (ECC-2024), June 25-28, Stockholm, Sweden, Pages 2724-2729, IEEE, 2024.

  8. Christian Ernst Siegfried Koch; Miguel Bande Firvida

    Active manipulator-aided docking of underactuated autonomous underwater vehicles

    In: OCEANS MTS/IEEE Conference 2024. OCEANS MTS/IEEE Conference (OCEANS-2024), September 23-26, Halifax, Canada, IEEE, 9/2024.

  9. 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.

  10. 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.

Jahr

Mehr Optionen