Master Thesis Data-Efficient Hybrid Machine Learning for Robust Vibration System Prediction
Tasks
- Communicate research results and contributions
- Compare models against simulation only baselines
- Develop benchmark for vibration prediction
- Evaluate model performance accuracy and robustness
- Integrate limited measurement data with simulation data
- Predict dynamic behavior of nonlinear coupled vibration systems
- Research hybrid machine learning methods
Perks/Benefits
- N/A
Skills/Tech-stack
Data integration | Machine Learning | Model Evaluation | NumPy | Pandas | PyTorch | Python | Regression
Education
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Countries
States
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