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Publikationen

Zeige Ergebnisse 2031 bis 2040 von 13895.

  1. Fabio Muratore; Fabio Ramos; Greg Turk; Wenhao Yu; Michael Gienger; Jan Peters

    Robot Learning From Randomized Simulations: A Review

    In: Frontiers in Robotics and AI, Vol. 9, Pages 0-10, Frontiers, 2022.

  2. Shu-Rong Yan; Manwen Tian; Khalid A. Alattas; Ardashir Mohamadzadeh; Mohammad Hosein Sabzalian; Amirhosein Mosavi

    An Experimental Machine Learning Approach for Mid-Term Energy Demand Forecasting

    In: IEEE Access (IEEE), Vol. 10, Pages 118926-118940, IEEE, 11/2022.

  3. Mahsa Manshadi; Milad Mousavi; M. Soltani; Amirhosein Mosavi; Levente Kovacs

    Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System

    In: Energies, Vol. 15, No. 24, Pages 9484-9494, MDPI, 12/2022.

  4. Volker Schaus; Tilman Andriof; Colin Borrett; Ingo Burmeister; Francisco Cabral; José Carvalho; Markus Daugs; Louise Hetherton; Florian Jung; Anthony de la Llave; Silvia Martinavarro; Keiran McNally; Maria Mirgkizoudi; Dinesh Natarajan; Marlon Nuske; Deepak Kumar Pathak; Ian Purton; Fabian Schiemenz; Zoe Tenacci; Benedikt Veith; Jan Siminski; Klaus Merz

    First results of ESA’s collision risk estimation and automated mitigation (CREAM) programme

    In: 73rd. International Astronautical Congress (IAC-2022), 20th IAA Symposium on Space Debris, September 18-22, Paris, France, IAF, 2022.

  5. Julian Ahrens; Lia Ahrens; Hans Dieter Schotten

    AI-driven Scheduling in an IIoT Scenario

    In: 2022 Workshop on Next Generation Networks and Applications. Workshop on Next Generation Networks and Applications (NGNA-2022), November 24, Kaiserslautern, Germany, Technische Universität Kaiserslautern, 11/2022.

  6. Burak Mete; Jessica Bielski; Viktor Eisenstadt; Christoph Langenhan; Frank Petzold; Klaus-Dieter Althoff

    Predicting semantic building information (BIM) with Recurrent Neural Networks

    In: European Conference on Product and Process Modeling. European Conference on Product and Process Modeling (ECPPM-2022), ECPPM, No. 14th, European Association of Product and Process Modelling, 9/2022.

  7. Kai Krämer; Ludger van Elst; Asier Arteaga

    Traveling Salesman Problem: A Case Study of a Scheduling Problem in a Steelmaking Plant

    In: Ludger van Elst; Tulay Caglayan Ozlu; Kurosh Madani (Hrsg.). Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: ETCIIM. International Workshop on Emerging Trends and Case-Studies in Industry 4.0 and Intelligent Manufacturing (ETCIIM-2022), located at 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, Pages 291-296, ISBN 978-989-758-612-5, SciTePress, 2022.

  8. Peter Fettke; Alexander Michael Rombach

    Towards Automated Process Planning and Mining

    In: Giuseppe De Giacomo; Antonella Guzzo; Marco Montali; Lior Limonad; Fabiana Fournier; Tagatha Chakraborti (Hrsg.). Process Management in the AI Era 2022. International Workshop on Process Management in the AI era (PMAI-2022), located at 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), July 23-29, Wien, Austria, CEUR, 12/2022.

  9. Brian Moser; Federico Raue; Jörn Hees; Andreas Dengel

    Less is More: Proxy Datasets in NAS approaches

    In: Brian Moser; Federico Raue; Jörn Hees; Andreas Dengel (Hrsg.). The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2022), IEEE, 3/2022.

  10. Nabeel Khalid; Mohammadmahdi Koochali; Vikas Rajashekar; Mohsin Munir; Christoffer Edlund; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

    DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation

    In: 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI-2022), September 27-30, Ioannina, Greece, IEEE BHI-BSN 2022, 2022.

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