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Publikationen

Zeige Ergebnisse 4431 bis 4440 von 14699.

  1. Lia Ahrens; Julian Ahrens; Hans Dieter Schotten

    Convolutional-Type Neural Networks for Fading Channel Forecasting

    In: IEEE Access, Vol. 8, Pages 193075-193090, IEEE, 10/2020.

  2. Rhea Rinaldo; Timo F. Horeis

    A Hybrid Model for Safety and Security Assessment of Autonomous Vehicles

    In: 4th ACM Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2020), December 2, Feldkirchen, Germany, Pages 1-10, CSCS '20, Vol. 4, No. 8, ISBN 9781450376211, Association for Computing Machinery, New York, USA, 2020.

  3. Pelayo Penarroya; Shubham Vyas; Roberto Paoli; Karl Martin Kajak

    Survey of Landing Methods on Small Bodies: Benefits of Robotics Manipulators to the Field

    In: International Symposium on Artificial Intelligence, Robotics and Automation in Space. International Symposium on Artificial Intelligence, Robotics and Automation in Space (iSAIRAS-2020), October 19-23, virtuell, n.n. 10/2020.

  4. Daniel Spieldenner; Torsten Spieldenner

    A Smart Integration Layer for Smart City Business Applications

    In: ICSGSC 2020 Conference Proceedings. International Conference on Smart Grid and Smart Cities (ICSGSC-2020), IEEE, 2020.

  5. Nico Herbig; Santanu Pal; Tim Düwel; Raksha Shenoy; Antonio Krüger; Josef van Genabith

    Improving the Multi-Modal Post-Editing (MMPE) CAT Environment based on Professional Translators’ Feedback

    In: Proceedings of the 1st Workshop on Post-Editing in Modern-Day Translation at AMTA. Workshop on Post-Editing in Modern-Day Translation (PEMDT-1), located at Conference of the Association for Machine Translation in the Americas (AMTA 2020), October 6-9, Orlando, Florida, USA, Pages 93-108, Association for Computational Linguistics, 10/2020.

  6. Michael Weber; David Michael Fürst; J. Marius Zöllner

    Automated Focal Loss for Image based Object Detection

    In: 2020 IEEE Intelligent Vehicles Symposium (IV). IEEE Intelligent Vehicles Symposium (IV-2020), IEEE, 2020.

  7. Viktor Eisenstadt; Klaus-Dieter Althoff; Christoph Langenhan

    Student Graduation Projects in the Context of Framework for AI-Based Support of Early Conceptual Phases in Architecture

    In: Daniel Trabold; Pascal Welke; Nico Piatkowski (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2020), September 9 - August 11, Online, Pages 174-179, CEUR, 2020.

  8. Jakob Michael Schönborn; Klaus-Dieter Althoff

    Towards Case-Based Reasoning in Real-Time Strategy Environments with SEASALT

    In: Daniel Trabold; Pascal Welke; Nico Piatkowski (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2020), September 9-11, Online, Pages 154-161, CEUR, 2020.

  9. Marcel Heinz; Jakob Michael Schönborn; Klaus-Dieter Althoff

    Development and Implementation of a Case-Based Reasoning Approach to Speed-Up Deep Reinforcement Learning through Case-Injection for AI Gameplay

    In: Daniel Trabold; Pascal Welke; Nico Piatkowski (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2020), September 9-11, Online, Pages 142-153, CEUR, 2020.

  10. Jobst-Julius Bartels; Sebastian Viefhaus; Philipp Yasrebi-Soppa; Pascal Reuß; Klaus-Dieter Althoff

    Visualizing the Behaviour of CBR Agents in a FPS Scenario

    In: Daniel Trabold; Pascal Welke; Nico Piatkowski (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2020), September 9-11, Online, Pages 130-141, CEUR, 2020.

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