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9 Publikationen


2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., & Frahm, B. (2022). Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. Processes, 10(5), Article 883. https://doi.org/10.3390/pr10050883
ELSA | DOI
 

2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., & Frahm, B. (2022). Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In R. Pörtner & J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing: Vol. special issue (pp. 21–48). MDPI. https://doi.org/10.3390/pr10050883
ELSA | DOI
 

2021 | Zeitschriftenaufsatz | ELSA-ID: 6932
Ehrlich, M., Bröring, A., Harder, D., Auhagen-Meyer, T., Kleen, P., Wisniewski, L., Trsek, H., & Jasperneite, J. (2021). Alignment of safety and security risk assessments for modular production systems. Elektrotechnik Und Informationstechnik : E & i, 138(6), 454–461. https://doi.org/10.1007/s00502-021-00927-9
ELSA | DOI | WoS
 

2020 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12235
Mi, C., Shatwell, T., Ma, J., Wentzky, V. C., Boehrer, B., Xu, Y., & Rinke, K. (2020). The formation of a metalimnetic oxygen minimum exemplifies how ecosystem dynamics shape biogeochemical processes: A modelling study. Water Research : A Journal of the International Water Association, 175(5), Article 115701. https://doi.org/10.1016/j.watres.2020.115701
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2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, F., Lange-Hegermann, M., & Beecks, C. (2020). Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. In H. Panetto, K. Madani, & A. Smirnov (Eds.), Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1 (pp. 87–92). SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0010130300870092
ELSA | DOI
 

2018 | Konferenzband - Beitrag | ELSA-ID: 549 | OA
Springer, A., Nothdurft, S., Lahdo, R., & Seffer, O. (2018). Dissimilar Metal Joints - Laser Based Manufacturing Processes for Components of Tomorrow. 8th International Conference on Production Engineering and Management. Lemgo: Technische Hochschule Ostwestfalen-Lippe.
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2017 | Konferenz - Beitrag | ELSA-ID: 4255 | OA
Fellmann, M., Robert, S., Büttner, S., Mucha, H., & Röcker, C. (2017). Towards a Framework for Assistance Systems to Support Work Processes in Smart Factories. In A. Holzinger (Ed.), Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings (Vol. 10410, pp. 59–68). Cham: Springer. https://doi.org/10.1007/978-3-319-66808-6_5
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2015 | Konferenz - Beitrag | ELSA-ID: 4330
Paelke, V., & Röcker, C. (2015). User Interfaces for Cyber-Physical Systems: Challenges and Possible Approaches. . Design, User Experience, and Usability: Design Discourse, 9186, 75–85. https://doi.org/10.1007/978-3-319-20886-2_8
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2012 | Konferenzband - Beitrag | ELSA-ID: 10164
Ahmad, K., Meier, U., & Witte, S. (2012). Predictive Oppertunistic Spectrum Access Using Markov Models. In Institute of Electrical and Electronics Engineers & IEEE Industrial Electronics Society (Eds.), Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012). IEEE. https://doi.org/10.1109/ETFA.2012.6489557
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