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Publications

Displaying results 301 to 310 of 661.

  1. 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.

  2. 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.

  3. 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.

  4. Kumail Raza; René Schuster; Didier Stricker

    Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching

    In: Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2021), November 30, Ingolstadt, Germany, ACM, 2021.

  5. Hendrik Wöhrle; Mariela De Lucas Alvarez; Fabian Schlenke; Alexander Walsemann; Michael Karagounis; Frank Kirchner (Hrsg.)

    Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators

    IEEE International Midwest Symposium on Circuits and Systems (MWSCAS-2021), August 9-11, USA, IEEE, 8/2021.

  6. 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.

  7. Riaz Ahmad

    An End-to-End OCR System for Pashto Cursive Script

    PhD-Thesis, TUK, 2018.

  8. Riaz Ahmad; M. Zeshan Afzal; S. Faisal Rashid; Marcus Liwicki; Thomas Breuel; Andreas Dengel

    KPTI: Katib’s Pashto Text Imagebase and DeepLearning Benchmark

    In: 15th International Conference on Frontiers in Handwriting Recognition. International Conference on Frontiers in Handwriting Recognition (ICFHR), IEEE, 2016.

  9. M Zeshan Afzal Riaz Ahmad

    KPTI: Katib’s Pashto Text Imagebase and DeepLearning Benchmark

    In: KPTI: Katib&'s Pashto Text Imagebase and DeepLearning Benchmark. International Conference on Frontiers in Handwriting Recognition (ICFHR), 15th International Conference on Frontiers in Handwriting Recognition, IEEE, 2016.

  10. Akansha Bhardwaj; Dominik Mercier; Andreas Dengel; Sheraz Ahmed

    DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction

    In: ICDAR. International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2017.

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