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Methodology for the model driven development of service oriented plant controls. Procedia CIRP, (67):173-178, January 2018. [PUMA: ias from:sekretariatias] URL
Validation of Autonomous Vehicles. ATZ elektronik, vol. 14, no. 9, pp. 26-32, 2019. [PUMA: 2019validierungundverifikation ias] URL
Deep Transfer Learning for Industrial Automation. IEEE Industrial Electronics Magazine, vol. 15, no. 2, pp. 65-75, June 2021, 2021. [PUMA: 2021ias ias] URL
Werkstückverfolgung und adaptive Steuerung beim Gesenkschmieden. Fachzeitschrift Massivumformung, Industrieverband Massivumformung e. V., Ausgabe März 2021, 2021. [PUMA: 2021ias ias] URL
An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System. at - Automatisierungstechnik, Band 67, Heft 9, Seiten 762–782, 2019. [PUMA: 2019digitalerzwillingundmodelle bigdataanalytics plugandsimulate digitalerzwilling ias] URL
Agentenbasierte dynamische Rekonfiguration von vernetztenintelligenten Produktionsanlagen – Evolution statt Revolution. Industrie 4.0 in Produktion, Automatisierung und Logistik, Springer Vieweg, Berlin, Heidelberg, 2014, 145-158, 2014. [PUMA: 2014ias ias]
Referenzarchitekturen für das IoT: Überblick zum Stand der Technik und wesentlichen Trends. OBJEKTspektrum, 6/2016:23-29, November 2016. [PUMA: 2016agententechnologieunditarchitektur 2016ias ias] URL
Deep industrial transfer learning at runtime for image recognition. at - Automatisierungstechnik, vol. 69, no. 3, pp. 211-220, 03.2021, 2021. [PUMA: 2021ias ias] URL
Knowledge Representation in Modeling and Simulation: A survey for the production and logistic domain. 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 Sept. 2020, Vienna, Austria, pp. 1051-1056, 2020. [PUMA: 2020digitalerzwillingundmodelle 2020ias ias] URL
Model-Based Error Detection for Industrial Automation Systems Using LSTM Networks. In: International Symposium on Model-Based Safety and Assessment, pp. 212-226. Springer, Cham, 2020. [PUMA: 2020ias ias 2020kiundmachinelearning] URL
Zum Forschungsportfolio des IAS: Institut für Automatisierungstechnik und Softwaresysteme, Universität Stuttgart. VDMA-Sammlung "Industrie 4.0 - Forschung an deutschen Forschungsinstituten - ein Überblick", VDMA, Neuauflage 2019, 14.10.2019, 2019. [PUMA: 2019applikationen ias] URL
On the tracking of individual workpieces in hot forging plants. CIRP Journal of Manufacturing Science and Technology, (22):116 - 120, Elsevier, August 2018. [PUMA: bigdataanalytics 2018applikation ias] URL
Systematic Testing for Autonomous Driving. ATZ elektronik, vol. 16, no. 3, pp. 26-30, 2021. [PUMA: 2021ias ias] URL
Architecture and knowledge modelling for self-organized reconfiguration management of cyber-physical production systems. International Journal of Computer Integrated Manufacturing, September, 2022, 2022. [PUMA: 2022ias ias] URL
Industrielles Transfer-Lernen - Von der Wissenschaft in die Praxis. atp-Magazin, August 2022, pp.86-93, Juni 2022, 2022. [PUMA: 2022ias ias] URL
Generation of Asset Administration Shell with Large Language Model Agents: Interoperability in Digital Twins with Semantic Node. arXiv preprint arXiv:2403.17209, 2024. [PUMA: 2024ias ias]
FIDGET: Deep Learning-Based Fault Injection Framework for Safety Analysis and Intelligent Generation of Labeled Training Data. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), September 2022, 2022. [PUMA: 2022ias ias]
Quality Analysis Framework based on Complexity for Change Management Using Intelligent Digital Twin. Procedia CIRP, (120):1516-1521, January 2023. [PUMA: 2023ias ias]
Influence of Solvers and their Characteristics on Simulation Time and Accuracy Exemplified for a Vacuum Gripping System. Procedia CIRP, (120):714-719, January 2023. [PUMA: 2023ias ias]