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Publications

Displaying results 361 to 370 of 646.

  1. Junaid Younas; Shoaib Ahmed Siddiqui; Mohsin Munir; Muhammad Imran Malik; Faisal Shafait; Paul Lukowicz; Sheraz Ahmed

    Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks

    In: Applied Sciences, Vol. 10, No. 18 (6460), Pages 1-16, MDPI, 9/2020.

  2. Sungho Suh; Paul Lukowicz; Yong Oh Lee

    Fusion of Global-Local Features for Image Quality Inspection of Shipping Label

    In: 2020 25th International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition (ICPR-2020), January 10-15, Milan, Italy, IEEE, 2021.

  3. Joel Jang; yoonjeon Kim; Kyoungho Choi; Sungho Suh

    Sequential targeting: A continual learning approach for data imbalance in text classification

    In: Expert Systems with Applications (ESWA), Vol. 179, Page 115067, Elsevier, 10/2021.

  4. Hymalai Bello; Bo Zhou; Sungho Suh; Paul Lukowicz

    MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas

    In: ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2021), September 21-26, ACM, 2021.

  5. Babu Ajish; Frank Kirchner

    Terrain Adaption Controller for a Walking Excavator Robot using Deep Reinforcement Learning

    In: 2021 20th International Conference on Advanced Robotics (ICAR). International Conference On Advanced Robotics (ICAR-2021), December 7-10, Ljubljana, Slovenia, Pages 64-70, IEEE Xplore, ieeexplore.ieee.org/document/9659399, 12/2021.

  6. Jens Popper; Carsten Harms; Martin Ruskowski

    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.

  7. 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.

  8. 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.

  9. 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.

  10. Riaz Ahmad

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

    PhD-Thesis, TUK, 2018.

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