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Publications

Displaying results 61 to 70 of 15202.
  1. 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.

  2. Hamed Tabrizchi; Jafar Razmara; Amirhosein Mosavi

    Thermal prediction for energy management of clouds using a hybrid model based on CNN and stacking multi-layer bi-directional LSTM

    In: Energy Reports, Vol. 9, Pages 2253-2268, Elsevier, 12/2023.

  3. Igor Vozniak; Philipp Müller; Lorena Hell; Nils Lipp; Ahmed Abouelazm; Christian Müller

    Context-empowered Visual Attention Prediction in Pedestrian Scenarios

    In: CVF. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 4-6, Waikoloa, Hawaii, USA, Pages 950-960, IEEE Explore, IEEE Xplore, 1/2023.

  4. Birgit Beck; Aljoscha Burchardt

    Alle reden von ethischer KI – aber was meinen sie damit?

    In: Christoph Markschies; Isabella Hermann (Hrsg.). #Verantwortung KI – Künstliche Intelligenz und gesellschaftliche Folgen. Pages 22-28, Vol. 3/2020, ISBN 978-3-939818-93-9, Berlin-Brandenburgische Akademie der Wissenschaften, 2020.

  5. Integration of Renewable Energies---AI-Based Prediction Methods for Electricity Generation from Photovoltaic Systems

    In: Thomas Barton; Christian Müller. Apply Data Science: Introduction, Applications and Projects. Pages 137-158, ISBN 978-3-658-38798-3, Springer Fachmedien, Wiesbaden, 2023.

  6. Josip Josifovski; Mohammadhossein Malmir; Noah Klarmann; Bare Luka Zagar; Nicolás Navarro-Guerrero; Alois Knoll

    Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 23-27, Kyoto, Japan, Pages 10193-10200, ISBN 978-1-66547-927-1, IEEE, 10/2022.

  7. Sören Tempel; Vladimir Herdt; Rolf Drechsler

    Specification-based Symbolic Execution for Stateful Network Protocol Implementations in the IoT

    In: IEEE Internet of Things Journal (IoT), Vol. o.a. IEEE, 2023.

  8. Jens Trommer; Niladri Bhattacharjee; Thomas Mikolajick; Sebastian Huhn; Marcel Merten; Mohammed E. Djeridane; Muhammad Hassan; Rolf Drechsler; Shubham Rai; Nima Kavand; Armin Darjani; Akash Kumar; Violetta Sessi; Maximilian Drescher; Sabine Kolodinski; Maciej Wiatr

    Design Enablement Flow for Circuits with Inherent Obfuscation based on Reconfigurable Transistors

    In: Design, Automation and Test in Europe Conference (DATE 2023). Design, Automation & Test in Europe (DATE-2023), April 17-19, Antwerp, Belgium, 2023.

  9. 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.

  10. 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.