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Found 2 papers, 1 papers with code
Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning
Hybrid models combining prior knowledge about degradation with deep learning models have been proposed to overcome this challenge.
Real-Time Model Calibration with Deep Reinforcement Learning
The dynamic, real-time, and accurate inference of model parameters from empirical data is of great importance in many scientific and engineering disciplines that use computational models (such as a digital twin) for the analysis and prediction of complex physical processes.
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