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Publications

Displaying results 311 to 320 of 666.
  1. Enabling reliable Visual Quality Control in Smart Factories through TSN

    In: Roberto Teti; Doriana M. D'Addona (Hrsg.). Procedia CIRP, Vol. 88 - 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 17-19 July 2019, Gulf of Naples, Italy, Pages 549-553, Elsevier B.V. 2020.

  2. Jens Popper; Martin Ruskowski

    Using Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Problems

    In: Roberto Teti; Doriana M. D'Addona (Hrsg.). CIRP Proceedings. CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), Pages 63-67, Vol. 112, Special Issue 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 14-16 July 2019, Gulf of Naples, Italy, Elsevier B.V. 2021.

  3. Jens Popper; Vassilios Yfantis; Martin Ruskowski (Hrsg.)

    Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning

    CIRP Conference on Manufactoring Systems (CIRP CMS-2021), 54th CIRP Conference on Manufacturing Systems, 2021, located at CIRP, September 22-24, Athens, Greece, ELSEVIER, 2021.

  4. Jens Popper; William Motsch; Alexander David; Teresa Petzsche; Martin Ruskowski (Hrsg.)

    Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints

    International Conference on Electrical, Computer, Communications and Mechatronics Engineering, located at 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, October 7-8, Belle Mare, Mauritius, IEEE, 2021.

  5. Malte Ostendorff; Elliott Ash; Terry Ruas; Bela Gipp; Julian Moreno Schneider; Georg Rehm (Hrsg.)

    Evaluating Document Representations for Content-based Legal Literature Recommendations

    International Conference on Artificial Intelligence and Law (ICAIL-2021), ACM, 2021.

  6. Khurram Azeem Hashmi; Rakshith Bymana Ponnappa; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information

    In: International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition Workshops (ICDARW), September 22-25, Sydney, NSW, Australia, ISBN 978-1-7281-5054-3, IEEE, 9/2019.

  7. Nabeel Khalid; Mohsin Munir; Christoffer Edlund; Timothy R Jackson; Johan Tryggy; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

    DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images

    In: IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI’21) JOINTLY ORGANISED WITH THE 17TH IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN’21). IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI-2021), July 27-30, Athens, Europe, Greece, ISBN 978-1-6654-4770-6, IEEE, 8/2021.

  8. Nabeel Khalid; Mohsin Munir; Christoffer Edlund; Timothy R Jackson; Johan Tryggy; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

    DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images

    In: 2021 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN-2021), July 18-20, Glasgow, United Kingdom, IJCNN, 2021.

  9. Christoffer Edlund; Timothy R. Jackson; Nabeel Khalid; Nicola Bevan; Timothy Dale; Andreas Dengel; Sheraz Ahmed; Johan Trygg; Rickard Sjögren

    LIVECell—A large-scale dataset for label-free live cell segmentation

    In: Nature Research, Vol. None, Pages 1-8, Nature Methods, 8/2021.

  10. Nijat Mehdiyev; Johannes Lahann; Andreas Emrich; David Enke; Peter Fettke; Peter Loos

    Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

    In: Procedia Computer Science. Complex Adaptive Systems (CAS-2017), USA, Pages 242-249, Vol. 114, 2017.