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Mazhar Zein El Abdine

Mazhar Zein El Abdine

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Mazhar Zein El Abdine

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    1 - 7 out of 7Page size: 10
    1. 2024
    2. Published

      Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning

      Wollschlaeger, L., Heinzel, C., Thiery, S., Abdine, M. Z. E., Khalifa, N. B. & Heger, J., 12.2024, In: Procedia CIRP. 130, p. 270-275 6 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    3. Published

      Neural network-based estimation and compensation of friction for enhanced deep drawing process control

      Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 15.05.2024, Material Forming ESAFORM 2024: The 27th International ESAFORM Conference on Material Forming – ESAFORM 2024 – held in Toulouse (France), at the Pierre Baudis Convention Center between 24-26th April, 2024. Araujo, A. C., Cantarel, A., Chabert, F., Korycki, A., Olivier, P. & Schmidt, F. (eds.). Millersville: MaterialsResearchForum LLC, p. 1462-1471 10 p. 162. (Materials Research Proceedings; vol. 41).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    4. 2022
    5. Published

      Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System

      Voß, T., Heger, J. & Zein El Abdine, M., 09.2022, In: Simulation Notes Europe. 32, 3, p. 169-175 7 p.

      Research output: Journal contributions › Conference article in journal › Research › peer-review

    6. 2021
    7. Published

      Closed-loop control of product geometry by using an artificial neural network in incremental sheet forming with active medium

      Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 01.11.2021, In: International Journal of Material Forming. 14, 6, p. 1319–1335 17 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    8. Published

      Entscheidungsbäume und bestärkendes Lernen zur dynamischen Auswahl von Reihenfolgeregeln in einem flexiblen Produktionssystem

      Heger, J., Zein El Abdine, M., Sekar, S. & Voß, T., 26.08.2021, Simulation in Produktion und Logistik 2021: Erlangen, 15. - 17. September 2021. Franke, J. & Schuderer, P. (eds.). Göttingen: Cuvillier Verlag, p. 337-346 10 p. (ASIM-Mitteilung; vol. AM 177).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    9. 2020
    10. Published

      Anomaly detection in formed sheet metals using convolutional autoencoders

      Heger, J., Desai, G. & Zein El Abdine, M., 01.01.2020, In: Procedia CIRP. 93, p. 1281-1285 5 p.

      Research output: Journal contributions › Conference article in journal › Research › peer-review

    11. 2019
    12. Published

      Using data mining techniques to investigate the correlation between surface cracks and flange lengths in deep drawn sheet metals

      Heger, J. & Zein El Abdine, M., 01.09.2019, In: IFAC-PapersOnLine. 52, 13, p. 851-856 6 p.

      Research output: Journal contributions › Conference article in journal › Research › peer-review