A hybrid LSTM and Gaussian process model produces RUL point and interval forecasts on C-MAPSS with narrower intervals than baselines, but with inconsistent coverage across sub-datasets.
An lstm network for highway trajectory prediction
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Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics
A hybrid LSTM and Gaussian process model produces RUL point and interval forecasts on C-MAPSS with narrower intervals than baselines, but with inconsistent coverage across sub-datasets.