2024

• Containerisierung von Model Predictive Control für modulare Anlagen: Ein Schritt zu intelligenten Edge Systemen Charania, Z., Vogt, L., Badrnoebashar, H., Koch, A., Lorenz, J., Mädler, J. & Urbas, L., 2 Jul 2024, p. 33, 45 p.Research output: Contribution to conferences > Paper
• Demonstration von “Industrial Control as a Service” für Biopharma-AnwendungenVogt, L. & Urbas, L., 2 Jul 2024, Automation 2024: 25. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2024) ;AI beats Automation?. VDI Verlag, Düsseldorf, 12 p.Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Demonstrating Containerization of Model Predictive Control for Modular PlantsVogt, L., Charania, Z., Mädler, J., Lorenz, J., Badrnoebashar, H., Koch, A. & Urbas, L., 13 May 2024, Proceedings of the 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). St. Louis: IEEE Xplore, 6 p.Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Strategies for Software and Hardware Compatibility Testing in Industrial ControllersRothhaupt, M., Vogt, L. & Urbas, L., 14 Mar 2024, In: Processes : open access journal. 12, 3, 580Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Strategies for Software and Hardware Compatibility Testing in Industrial ControllersRothhaupt, M., Vogt, L. & Urbas, L., 31 Jan 2024, MDPI, BaselElectronic (full-text) versionResearch output: Preprint/documentation/report > Preprint
• IIoT Data-Driven Analytics Pipeline for Industrial Process EngineeringRani, F., Vogt, L. & Urbas, L., 2024Research output: Contribution to conferences > Poster
• Industrial Edge MLOps: Overview and ChallengesRani, F., Chollet, N., Vogt, L. & Urbas, L., 2024, ESCAPE34-PSE24: European Symposium on Computer Aided Process Engineering and International Symposium on Process Systems Engineering. Vol. 53. 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Scalable data pipeline: Ontology-based OPC UA data access for the industrial internet of thingsRani, F., Wang, X., Charania, Z., Vogt, L. & Urbas, L., 2024, 25- VDI-Kongress AUTOMATION 2024 AI beats Automation?. VDI WissensforumResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Steigerung der Energieeffizienz für eine nachhaltige Entwicklung in der Produktion: Die Rolle des maschinellen Lernens im ecoKI-ProjektWang, X., Rani, F., Charania, Z., Vogt, L., Klose, A. & Urbas, L., 2024, 25- VDI-Kongress AUTOMATION 2024 AI beats Automation?Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2023

• CNN-basierte Detektion von Geometriefeatures auf Grundlage diskreter VoxeldatenVogt, L., 10 Dec 2023, 91 p.Electronic (full-text) versionResearch output: Types of Thesis > Diploma thesis
• Towards cloud-based Control-as-a-Service for modular Process PlantsVogt, L., Klose, A., Khaydarov, V., Vockeroth, C., Endres, C. & Urbas, L., 12 Sep 2023, 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA). Sinaia, Romania: IEEEElectronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Anforderungen an die zukünftige Prozessautomation in der Biopharma-IndustrieVogt, L., Klose, A., Mutlu, I. & Urbas, L., 27 Jun 2023, Automation 2023: 24. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2023) ;Transformation by Automation. VDI Verlag, Düsseldorf, Vol. 2419. p. 943-957, 15 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• P2O-Lab: A Learning Factory for Digitalization and ModularizationVogt, L., Pelzer, F., Klose, A., Khaydarov, V., Lange, H., Viedt, I., Mädler, J. & 1 others, 23 May 2023Electronic (full-text) versionResearch output: Contribution to conferences > Paper
• Enhancing 3D-CNN-based Geometric Feature Recognition for Adaptive Additive Manufacturing: A SDF Data ApproachHilbig, A., Vogt, L., Holtzhausen, S. & Paetzold, K., 4 Apr 2023, In: Journal of Computational Design and Engineering. 10, 3, p. 992-1009, 18 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article