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8 Publikationen
2025 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12896
Brtnicky, Martin u. a.: Soil texture-driven modulation of poly-3-hydroxybutyrate (P3HB) biodegradation: Microbial shifts, and trade-offs between nutrient availability and lettuce growth, in: Environmental Research 278 (2025).
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| PubMed | Europe PMC
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12215
Mi, Chenxi/Rinke, Karsten/Shatwell, Tom: Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany’s largest drinking water reservoir, in: Journal of Environmental Sciences 146 (2024), H. 12, S. 127–139.
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2022 | Konferenzband - Beitrag | ELSA-ID: 12804
Besginow, Andreas/Lange-Hegermann, Markus: Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations, Bd. 35, hg. von Koyejo, S. u. a., Red Hook, NY 2022 (Advances in Neural Information Processing Systems).
ELSA
2019 | Konferenzband - Beitrag | ELSA-ID: 12803
Wunderlich, Paul/Hranisavljevic, Nemanja: Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction, hg. von Aalto University, Finland/Tampere University, Finland, Finnish Society of Automation, Finland, [Piscataway, NJ] 2019.
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2018 | Konferenz - Beitrag | ELSA-ID: 2005 | 
Dörksen, Helene/Lohweg, Volker (2018): Linear Classification of Badly Conditioned Data. , in: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy.
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2017 | Konferenz - Beitrag | ELSA-ID: 328
Borcherding, Holger et. al. (2017): Concepts for a DC Network in Industrial Production, in: Institute of Electrical and Electronics Engineers (IEEE) (Hg.): 2017 IEEE Second International Conference on DC Microgrids (ICDCM), Danvers, S. 227–234.
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2017 | Konferenz - Beitrag | ELSA-ID: 4254 |
Büttner, Sebastian et. al. (2017): Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction, in: Andreas Holzinger (Hg.): 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 (=Lecture Notes in Computer Science 10410), Cham, S. 69–82.
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2016 | Konferenz - Beitrag | ELSA-ID: 273
Austermann, Johann et. al. (2016): High Efficient Modular Drive System - An Ideal Approach for Green Intralogistics Applications, in: 2016 18th European Conference on Power Electronics and Applications (EPE’16 ECCE Europe), Berlin ; Offenbach, S. 1639–1646.
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