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Publications

 

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Displaying results 21 to 30 of 574.
  1. Jannik Redenius; Sven Belau; Daniel Irmer; Rene Middelberg; Sebastian Spiekermann; Christian Bußmann; Till Sellschopp; Arno Ruckelshausen; Joachim Hertzberg

    ‘Virtual Harvesting’ as a Key Element in the Development of a novel LiDAR based Combine Harvester Steering System

    In: 77th Int. Conference LAND.TECHNIK. International Conference Agricultural Engineering (LAND.TECHNIK-2019), November 8-9, Hannover, Germany, Pages …

  2. Daniele Giunchi; Stuart James; Donald Degraen; Anthony J Steed

    Mixing realities for sketch retrieval in Virtual Reality

    In: The 17th International Conference on Virtual-Reality Continuum and Its Applications in Industry. International Conference on Virtual-Reality …

  3. Gavin D. Portwood; Peetak P. Mitra; Mateus Dias Ribeiro; Tan Minh Nguyen; Balasubramanya T. Nadiga; Juan A. Saenz; Michael Chertkov; Animesh Garg; Anima Anandkumar; Andreas Dengel; Richard Baraniuk; David P. Schmidt

    Turbulence forecasting via Neural ODE

    In: Second Workshop on Machine Learning and the Physical Sciences. Machine Learning and the Physical Sciences Workshop (ML4PS-2019), located at …

  4. Medical and Health Systems

    In: Sharon Oviatt; Björn W Schuller; Philip R Cohen; Daniel Sonntag; Gerasimos Potamianos; Antonio Krüger. The Handbook of Multimodal-Multisensor …

  5. Deep Convolutional Networks For Snapshot Hyperspectral Demosaicking

    In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Workshop on Hyperspectral Imaging and …

  6. Antonio Bucchiarone; Martina De Sanctis; Peter Hevesi; Marco Hirsch; Francisco Javier Royo Abancens; Pablo Fernandez Vivanco; Orkhan Amiraslanov; Paul Lukowicz

    Smart Construction: Remote and Adaptable Management of Construction Sites through IoT

    In: IEEE Internet of Things Magazine, Vol. 2, No. 3, Pages 38-45, IEEE, 9/2019.

  7. Steve Dias Da Cruz; Oliver Wasenmüller; Hans-Peter Beise; Thomas Stifter; Didier Stricker

    An Overview of the SVIRO Dataset and Benchmark

    In: Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2019), October 8, Kaiserslautern, Germany, ACM, 2019.

  8. A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data

    In: 18th IEEE International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications …

  9. Schaugar Azad; Evgeny Schnittmann; Markus Zdrallek; Christian Breuer; Julian Zimpel; Marcus Hörhammer; Alexander Schalk; Nils Neusel-Lange; Boris Brandherm; Matthieu Deru; Alassane Ndiaye

    Increasing Grid Visibility on the Basis of Smart Meters as a Building Block for Grid Integration of Electromobility

    In: 3rd E-Mobility Integration Symposium (E-Mobility) Dublin, Ireland. E-Mobility Integration Symposium (E-Mobility-2019), October 14, Dublin, …