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Prediction of the Remaining Useful Life of Lithium-Ion Batteries Based on Empirical Mode Decomposition and Deep Neural Networks.
Jianshu Qiao
Xiaofeng Liu
Zehua Chen
Published in:
IEEE Access (2020)
Keyphrases
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empirical mode decomposition
stock market prediction
neural network
non stationary
wavelet decomposition
signal analysis
hilbert huang transform
pattern recognition
electric vehicles
intrinsic mode functions
multi band