Predicting turbofan engine Remaining Useful Life (RUL) from NASA C-MAPSS sensor data — comparing Linear Regression, Random Forest, Gradient Boosting, and LSTM, evaluated with RMSE and the NASA official asymmetric scoring function.
machine-learning deep-learning time-series plane random-forest tensorflow scikit-learn aerospace keras lstm sensor-data gradient-boosting predictive-maintenance remaining-useful-life prognostics turbofan-engine rul-prediction nasa-cmapss
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Updated
Oct 10, 2026 - JavaScript