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Machine-Learning Based Approximation of the Hierarchical Model Predictive Control of Multi-Use PV-Battery Systems in Non-Residential Buildings1citations
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Model-based Evaluation of Advanced Energy Management Control Strategies for Heavy-Duty Fuel Cell Powertrains2024 SAE International journal of commercial vehicles article Engineering Electric and Hybrid Vehicle Technologies
Gaurav Sadekar, Sadaf Batool, Adithya Baburaj, Vasu Goyal, Satyum Joshi, Michael Franke
2citations -
Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules2025 Journal of the American Medical Informatics Association article Computer Science Machine Learning in Healthcare Open access
Lincen Yang, Siri Lise van der Meijden, M. Sesmu Arbous, Matthijs van Leeuwen
1citations -
Deep Learning-based detection of psychiatric attributes from German mental health records2022 International Journal of Medical Informatics article Biochemistry, Genetics and Molecular Biology Biomedical Text Mining and Ontologies Open access
Sumit Madan, Fabian Julius Zimmer, Helena Balabin, Sebastian Schaaf, Holger Fröhlich, Juliane Fluck, +4 more
18citations -
Let’s get in sync: current standing and future of AI-based detection of patient-ventilator asynchrony2025 Intensive Care Medicine Experimental article Medicine Respiratory Support and Mechanisms Open access
Thijs P. Rietveld, Björn J. P. van der Ster, Abraham Schoe, Henrik Endeman, Daria Kozlova, Diederik A M P J Gommers, +1 more
17citations -
Heat Pump Systems with Photovoltaics: Influence of the Control Strategy on the Optimal Design2023 International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS) conference-paper Engineering Integrated Energy Systems Optimization Open access
Fabian Wüllhorst, Jonas Reuter‐Schniete, Laura Maier, Dominik Hering, Dirk Müller
0citations -
Anomaly Detection in Intensive Care Unit Data: A Comparative Analysis2026 International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) conference-paper Computer Science Anomaly Detection Techniques and Applications
Simon Fonck, Lavinia Goldermann, Sebastian Johannes Fritsch, Lena Olivier, André Stollenwerk
0citations