| Closed-loop control of product geometry by using an artificial neural network in incremental sheet forming with active medium S Thiery, M Zein El Abdine, J Heger, N Ben Khalifa International Journal of Material Forming 14, 1319-1335, 2021 | 13 | 2021 |
| Anomaly detection in formed sheet metals using convolutional autoencoders J Heger, G Desai, MZ El Abdine Procedia CIRP 93, 1281-1285, 2020 | 12 | 2020 |
| Using data mining techniques to investigate the correlation between surface cracks and flange lengths in deep drawn sheet metals J Heger, MZ El Abdine IFAC-PapersOnLine 52 (13), 851-856, 2019 | 9 | 2019 |
| Entscheidungsbäume und bestärkendes Lernen zur dynamischen Auswahl von Reihenfolgeregeln in einem flexiblen Produktionssystem J Heger, MZ El Abdine, S Sekar, T Voß Simulation in Produktion und Logistik, 337, 2021 | 1 | 2021 |
| Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning L Wollschlaeger, C Heinzel, S Thiery, MZ El Abdine, NB Khalifa, J Heger Procedia CIRP 130, 270-275, 2024 | | 2024 |
| Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System. T Voß, J Heger, MZ El Abdine Simul. Notes Eur. 32 (3), 169-175, 2022 | | 2022 |
| Neural network-based estimation and compensation of friction for enhanced deep drawing process control S THIERY, MZ EL ABDINE, J HEGER, NBEN KHALIFA Materials Research Proceedings 41, 0 | | |
