| Application of LSTM networks for water demand prediction in optimal pump control C Kühnert, NM Gonuguntla, H Krieg, D Nowak, JA Thomas Water 13 (5), 644, 2021 | 39 | 2021 |
| Kinetic modeling of rhamnolipid production by Pseudomonas aeruginosa PAO1 including cell density-dependent regulation M Henkel, A Schmidberger, M Vogelbacher, C Kühnert, J Beuker, ... Applied microbiology and biotechnology 98, 7013-7025, 2014 | 34 | 2014 |
| Kinetic modeling of the time course of N-butyryl-homoserine lactone concentration during batch cultivations of Pseudomonas aeruginosa PAO1 M Henkel, A Schmidberger, C Kühnert, J Beuker, T Bernard, T Schwartz, ... Applied microbiology and biotechnology 97, 7607-7616, 2013 | 29 | 2013 |
| Data-driven methods for the detection of causal structures in process technology C Kühnert, J Beyerer Machines 2 (4), 255-274, 2014 | 22 | 2014 |
| Machine Learning for Cyber Physical Systems: Selected Papers from the International Conference ML4CPS 2018 J Beyerer, C Kühnert, O Niggemann Springer Nature, 2019 | 21 | 2019 |
| Water quality supervision of distribution networks based on machine learning algorithms and operator feedback C Kühnert, T Bernard, IM Arango, R Nitsche Procedia Engineering 89, 189-196, 2014 | 17 | 2014 |
| Data-driven methods for fault localization in process technology C Kühnert KIT Scientific Publishing, 2013 | 15 | 2013 |
| A generic digitaltwin model for artificial intelligence applications O Niggemann, A Diedrich, C Kühnert, E Pfannstiel, J Schraven 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems …, 2021 | 9 | 2021 |
| Cloud-based event detection platform for water distribution networks using machine-learning algorithms C Kühnert, M Baruthio, T Bernard, C Steinmetz, JM Weber Procedia Engineering 119, 901-907, 2015 | 8 | 2015 |
| Causal structure learning in process engineering using Bayes Nets and soft interventions C Kuehnert, T Bernard, C Frey 2011 9th IEEE International Conference on Industrial Informatics, 69-74, 2011 | 8 | 2011 |
| Extraction of optimal control patterns in industrial batch processes based on Support Vector Machines C Kuhnert, T Bernard 2009 IEEE Control Applications,(CCA) & Intelligent Control,(ISIC), 481-486, 2009 | 7 | 2009 |
| Web-based machine learning platform for condition-monitoring T Bernard, C Kühnert, E Campbell Machine Learning for Cyber Physical Systems: Selected papers from the …, 2019 | 5 | 2019 |
| Optimierung der Prozessführung komplexer verfahrenstechnischer Prozesse mit Support Vector Machines C Kühnert, J Minx, T Bernard, HB Kuntze Frauenhofer-Institut für Informations-und Datenverarbeitung, Karlsruhe, 2009 | 5 | 2009 |
| The digitaltwin from an artificial intelligence perspective O Niggemann, A Diedrich, C Kuehnert, E Pfannstiel, J Schraven arXiv preprint arXiv:2010.14376, 2020 | 4 | 2020 |
| Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen C Kühnert, L Gröll, M Heizmann, M Reischl, R Mikut Oldenbourg Wissenschaftsverlag GmbH 60 (10), 630-640, 2012 | 4 | 2012 |
| A modular architecture for smart data analysis using AutomationML, OPC-UA and data-driven algorithms C Kühnert, M Schleipen, M Okon, R Henßen, T Bischoff Machine Learning for Cyber Physical Systems: Selected papers from the …, 2016 | 3 | 2016 |
| Optimization and Online-Monitoring in industrial batch processes using Data-Mining methods C Kühnert, T Bernard Proceedings 19, 170-180, 2009 | 3 | 2009 |
| GPU GEMM-kernel autotuning for scalable machine learners J Sailer, C Frey, C Kühnert Machine Learning for Cyber Physical Systems: Selected papers from the …, 2019 | 2 | 2019 |
| Ansätze zur datengetriebenen Formulierung von Strukturhypothesen für dynamische Systeme C Kühnert, L Gröll, M Heizmann, R Mikut Clustering Neuronale Netze Data Mining Regelung Analyse, 15, 2014 | 2 | 2014 |
| SMaRT-OnlineWDN: A Franco-German project for the online security management of water distribution networks T Bernard, OA Piller, D Gilbert, M Braun, C Kühnert, JW Deuerlein, ... | 2 | 2014 |
