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3 Publikationen


2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11377
Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann, and Björn Frahm. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” Processes 10, no. 5 (2022). https://doi.org/10.3390/pr10050883.
ELSA | DOI
 

2022 | Sammelwerk - Beitrag | ELSA-ID: 10193
Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann, and Björn Frahm. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” In Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, edited by Ralf Pörtner and Johannes Möller, special issue:21–48. Processes : Open Access Journal. Basel: MDPI, 2022. https://doi.org/10.3390/pr10050883.
ELSA | DOI
 

2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, Fabian, Markus Lange-Hegermann, and Christian Beecks. Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. Edited by H. Panetto, K. Madani, and A. Smirnov. Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1. SCITEPRESS - Science and Technology Publications, 2020. https://doi.org/10.5220/0010130300870092.
ELSA | DOI | WoS
 

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