| Application of federated machine learning in manufacturing V Hegiste, T Legler, M Ruskowski 2022 International Conference on Industry 4.0 Technology (I4Tech), 1-8, 2022 | 15* | 2022 |
| A CAD feature-based manufacturing approach with OPC UA skills M Volkmann, T Legler, A Wagner, M Ruskowski Procedia Manufacturing 51, 416-423, 2020 | 15 | 2020 |
| Integration of a feasibility and context check into an OPC UA skill M Volkmann, A Sidorenko, A Wagner, J Hermann, T Legler, M Ruskowski IFAC-PapersOnLine 54 (1), 276-281, 2021 | 13 | 2021 |
| Federated object detection for quality inspection in shared production V Hegiste, T Legler, K Fridman, M Ruskowski 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC …, 2023 | 2 | 2023 |
| Federated Ensemble YOLOv5–A Better Generalized Object Detection Algorithm V Hegiste, T Legler, M Ruskowski 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC …, 2023 | 1 | 2023 |
| Mapping of newcomer clients in federated learning based on activation strength T Legler, V Hegiste, M Ruskowski International Conference on Flexible Automation and Intelligent …, 2023 | 1 | 2023 |
| Wireless Safety in Industrial 5G Networks S Lamoth, J Goetz, T Legler, M Ruskowski International Conference on Flexible Automation and Intelligent …, 2023 | 1 | 2023 |
| Special Issue on Smart Production M Ruskowski, T Legler, M Beetz, G Bartels KI-Künstliche Intelligenz 33 (2), 111-116, 2019 | 1 | 2019 |
| The need for neuromorphic computing in industrial robotics T Bhanja, J Nußbaum, K Abuibaid, T Legler, A Wagner, M Ruskowski 2023 International Conference on Artificial Intelligence and Power …, 2023 | | 2023 |
Martin RuskowskiProfessor für Werkzeugmaschinen und Steuerungen, RPTU Kaiserslautern在 ruskowski.de 的电子邮件经过验证
