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Zeige Ergebnisse 51 bis 60 von 13445.

  1. Tobias Pfandzelter; David Bermbach; Robert Vilter; Ingo Friese; Sergiy Melnyk; Qiuheng Zhou; Hans D Schotten (Hrsg.)

    Towards Anti-Collision Coordination for UAVs with Serverless Edge Computing

    IEEE International Conference on Cloud Engineering (IC2E-2024), September 24-27, Paphos, Cyprus, IEEE, IEEE Xplore, 9/2024.

  2. 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.

  3. 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.

  4. Payal Varshney; Adriano Lucieri; Christoph Peter Balada; Andreas Dengel; Sheraz Ahmed

    Pattern Recognition, 27th International Conference, ICPR 2024 Kolkata, India, December 1-5, 2024 Proceedings, Part XII

    In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.). Pattern Recognition 27th International Conference, ICPR 2024 Kolkata, India, December 1–5, 2024 Proceedings, Part XII. International Conference on Pattern Recognition (ICPR-2024), located at 27th International Conference, ICPR 2024, December 1-5, Kolkata, India, DFKI Research Reports (RR), ISBN 978-3-031-78198-8, Springer Nature Link, Cham, 12/2024.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Fabrizio Fornari; Ivan Compagnucci; Massimo Callisto De Donato; Yannis Bertrand; Harry H. Beyel; Emilio Carrión; Marco Franceschetti; Wolfgang Groher; Joscha Grüger; Emre Kilic; Agnes Koschmider; Francesco Leotta; Chiao-Yun Li; Giovani Lugaresi; Lukas Malburg; Juergen Mangler; Massimo Mecella; Oscar Pastor; Uwe Riss; Ronny Seiger; Estefania Serral; Victoria Torres; Pedro Valderas

    Digital Twins of Business Processes: A research manifesto

    In: Internet of Things, Vol. 0, Page 101477, Elsevier, 2024.

  10. Susan Beudt; Rolf Feichtenbeiner; Berit Blanc; Niels Pinkwart

    Inklusion durch künstliche Intelligenz? Zur Rolle und Bedeutung KI-gestützter Assistenztechnologien für Menschen mit Behinderungen

    In: Kai Gondlach; Birgit Brinkmann; Mark Brinkmann; Julia Plath (Hrsg.). Regenerative Zukünfte und künstliche Intelligenz. Band 2: PEOPLE. Pages 143-161, SDG - Forschung, Konzepte, Lösungsansätze zur Nachhaltigkeit (SDGFKLN), ISBN 978-3-658-44852-3, Springer VS, Wiesbaden, 12/2024.

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