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Aktuelle Arbeiten zu Machine Learning
Machine Learning für Automobil-Bremsen und deren Emissionen
bSTAB: an open-source software for computing the basin stability of multi-stable dynamical systems
Explainable machine learning: A case study on impedance tube measurements
Exploring the application of reinforcement learning to wind farm control
Explainable machine learning determines effects on the sound absorption coefficient measured in the impedance tube
Deep learning for brake squeal: Brake noise detection, characterization and prediction
Establishing a common database of ice experiments and using machine learning to understand and predict ice behavior
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