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Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets.

, , , , , and . ICMLA, page 1529-1536. IEEE, (2021)

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Predicting Chaotic Time Series by Boosted Recurrent Neural Networks., , and . ICONIP (2), volume 4233 of Lecture Notes in Computer Science, page 831-840. Springer, (2006)Hierarchical Clustering for Local Time Series Forecasting., , and . ICONIP (2), volume 8227 of Lecture Notes in Computer Science, page 59-66. Springer, (2013)Un outil pour la comparaison et la validation d'algorithmes d'apprentissage à partir de données., , , and . Monde des Util. Anal. Données, (2001)Time Series Forecasting by Finite-State Automata., , , and . Workshop on Implementing Automata, volume 1260 of Lecture Notes in Computer Science, page 26-34. Springer, (1996)Boosting Recurrent Neural Networks for Time Series Prediction., , and . ICANNGA, page 18-22. Springer, (2003)Bayesian learning for time series prediction with exogenous variables., , and . IJCNN, page 2594-2599. IEEE, (1999)Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets., , , , , and . ICMLA, page 1529-1536. IEEE, (2021)Region-Based 2D Deformable Generalized Cylinder for Narrow Structures Segmentation., , and . ECCV (2), volume 5303 of Lecture Notes in Computer Science, page 392-404. Springer, (2008)Segmentation and Tracking of the Left Ventricle in 3D MRI Sequences Using an Active Surface Model., , , and . CBMS, page 257-262. IEEE Computer Society, (2007)A supervised texture-based active contour model with linear programming., , , , and . ICIP, page 1104-1107. IEEE, (2008)