Publikationen des TMDT
- 2017
- Wang, Y., Tercan, H., Thiele, T., Meisen, T., Jeschke, S., & Schulz, W. (2017). "Advanced Data Enrichment and Data Analysis in Manufacturing Industry By an Example of Laser Drilling Process" , 2017 Itu Kaleidoscope: Challenges for a Data-Driven Society (Itu K) .
- Antkowiak, D., Luetticke, D., Langer, T., Thiele, T., Meisen, T., & Jeschke, S. (2017). "Cyber-Physical Production Systems: A Teaching Concept in Engineering Education" , 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) , 681—686.
- Willicks, F., Schönefeld, K., Stehling, V., Richert, A., Jeschke, S., & Hees, F. (2017). "Engineers Without Borders Challenge: Implementing Sustainability in German Engineering Education" in ASEE Annual Conference & Exposition .
- Fehling, C. D. (2017). "Erweiterte Lernwelten für die berufliche Bildung. Augmented Reality als Perspektive" in Lernen in virtuellen Räumen , Thissen, Frank, Eds. Berlin/Boston : De Gruyter .
ISBN: 9783110501131
- Pomp, A., Paulus, A., Jeschke, S., & Meisen, T. (2017). "ESKAPE: Information Platform for Enabling Semantic Data Processing" , Proceedings of the 19th International Conference on Enterprise Information Systems , 644—655.
- Pomp, A., Paulus, A., Jeschke, S., & Meisen, T. (2017). "ESKAPE: Platform for Enabling Semantics in the Continuously Evolving Internet of Things" , 2017 IEEE 11th International Conference on Semantic Computing (ICSC) , 262—263.
- Tercan, H., Al-Khawli, T., Eppelt, U., Büscher, C., Meisen, T., & Jeschke, S. (2017). "Improving the Laser Cutting Process Design by Machine Learning Techniques" , Production Engineering , 11 (2), 195—203.
- Jeschke, S., Brecher, C., Meisen, T., Özdemir, D., & Eschert, T. (2017). "Industrial Internet of Things and Cyber Manufacturing Systems" , Industrial Internet of Things , 3—19.
- Schilberg, D., Hoffmann, M., Schmitz, S., & Meisen, T. (2017). "Interoperability in Smart Automation of Cyber Physical Systems" in Industrial Internet of Things , Jeschke, Sabina and Brecher, Christian and Song, Houbing and Rawat, Danda B., Eds. 261—286.
- Meyes, R., Tercan, H., Roggendorf, S., Thiele, T., Büscher, C., Obdenbusch, M., Brecher, C., Jeschke, S., & Meisen, T. (2017). "Motion Planning for Industrial Robots using Reinforcement Learning" , Procedia CIRP , 63 , 107—112.
- Fehling, C. D. (2017). "Neue Lehr- und Lernformen in der Ausbildung 4.0: Social Augmented Learning in der Druckindustrie" , Berufsbildung in Wissenschaft und Praxis , 2 ,
- Hoffmann, M., Meisen, T., & Jeschke, S. (2017). "OPC UA Based ERP Agents: Enabling Scalable Communication Solutions in Heterogeneous Automation Environments" , PAAMS 2017: Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection , 120—131.
- Hoffmann, M., Thomas, P., Schütz, D., Vogel-Heuser, B., Meisen, T., & Jeschke, S. (2017). "Semantic Integration of Multi-agent Systems Using an OPC UA Information Modeling Approach" , IEEE International Conference on Industrial Informatics (INDIN) , 744—747.
- Haßler, M., Jeschke, S., & Meisen, T. (2017). "Similarity Analysis of Time Interval Data Sets Regarding Time Shifts and Rescaling" , Proceedings International work-conference on Time Series , 995—1006.
- Haßler, M., Kohlschein, C., & Meisen, T. (2017). "Similarity Analysis of Time Interval Data Sets—-A Graph Theory Approach" , ITISE 2017: Time Series Analysis and Forecasting , 159—171.