A conceptual model for digital shadows in industry and its application F Becker, P Bibow, M Dalibor, A Gannouni, V Hahn, C Hopmann, M Jarke, ... Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event …, 2021 | 82 | 2021 |
Machine learning as a comparative tool to determine the relevance of signal features in laser welding C Knaak, U Thombansen, P Abels, M Kröger Procedia CIRP 74, 623-627, 2018 | 53 | 2018 |
A spatio-temporal ensemble deep learning architecture for real-time defect detection during laser welding on low power embedded computing boards C Knaak, J von Eßen, M Kröger, F Schulze, P Abels, A Gillner Sensors 21 (12), 4205, 2021 | 49 | 2021 |
Deep learning-based semantic segmentation for in-process monitoring in laser welding applications C Knaak, G Kolter, F Schulze, M Kröger, P Abels Applications of machine learning 11139, 10-22, 2019 | 42 | 2019 |
Effizientere produktion mit digitalen schatten G Schuh, C Häfner, C Hopmann, B Rumpe, M Brockmann, A Wortmann, ... Zeitschrift für wirtschaftlichen Fabrikbetrieb 115 (s1), 105-107, 2020 | 38 | 2020 |
A digital shadow reference model for worldwide production labs J Michael, I Koren, I Dimitriadis, J Fulterer, A Gannouni, M Heithoff, ... Internet of Production: Fundamentals, Methods and Applications, 61-89, 2023 | 8 | 2023 |
LISSU: integrating semantic web concepts into SOA frameworks J Lipp, S Sakik, M Kröger, S Decker ICEIS (1), 855-865, 2021 | 6 | 2021 |
Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead J Pennekamp, A Belova, T Bergs, M Bodenbenner, A Bührig-Polaczek, ... Internet of Production: Fundamentals, Methods and Applications, 35-60, 2023 | 4 | 2023 |
Deep Learning and conventional machine learning for image-based in-situ fault detection during laser welding: a comparative study C Knaak, M Kröger, F Schulze, P Abels, A Gillner Preprints, 2021 | 4 | 2021 |
Unconsidered Installations: Discovering IoT Deployments in the IPv6 Internet M Dahlmanns, F Heidenreich, J Lohmöller, J Pennekamp, K Wehrle, ... NOMS 2024-2024 IEEE Network Operations and Management Symposium, 1-8, 2024 | 3 | 2024 |
Platform for Adaptive Integration of Data-Driven Models And Simulations Into Ultra Short Pulse Manufacturing Systems. M Kröger, C Lasogga, M Kratz, C Hinke, C Holly Journal of Laser Micro/Nanoengineering 19 (1), 2024 | 3 | 2024 |
Implementing DevOps Practices in CPPS Using Microservices and GitOps I Koren, F Rinker, K Meixner, M Kröger, M Zeng 2023 IEEE 28th International Conference on Emerging Technologies and Factory …, 2023 | 3 | 2023 |
LISSU: continuous monitoring of SOA communication with constraint-based validation J Theissen-Lipp, M Kröger, B Heinrichs, S Decker SN computer science 3 (4), 293, 2022 | 3 | 2022 |
Datennutzung und Datenreduktion in der Lasermaterialbearbeitung: Lernen aus der vollständigen Information U Thombansen, P Abels, W Fiedler, C Knaak, M Kröger, A Lanfermann, ... Monetarisierung von technischen Daten: Innovationen aus Industrie und …, 2021 | 2 | 2021 |
Entering the World of Internet of Production–Get Rid of the Not-Invented-Here-Syndrome and Start Making Software Components Foolproof! M Brockmann, M Kröger | 1 | 2021 |
Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer Y Lockner, P Buske, M Rudack, Z Kheirandish, M Kröger, S Stoyanov, ... Internet of Production: Fundamentals, Methods and Applications, 247-279, 2023 | | 2023 |
Data Utilization and Data Reduction in Laser Material Processing: Learning From the Complete Information U Thombansen, P Abels, W Fiedler, C Knaak, M Kröger, A Lanfermann, ... The Monetization of Technical Data: Innovations from Industry and Research …, 2023 | | 2023 |
Characterisation of the optical emisson in laser powder bed fusion process E Duong, M Kröger, U Thombansen, C Knaak, P Abels | | 2019 |
Digital Photonics for Next Generation Laser Material Processing T Kaster, M Kröger, P Walderich, L de Andrade Both, L Gorissen, ... | | |
Dynamische Steuerung und automatisierte Justage von diffraktiven neuronalen Netzwerken für effektive Laserstrahlformung P Buske, M Kröger, M Trosin, O Hofmann, J Stollenwerk, C Holly | | |