… capability of machine learning (ML) algorithms in assessing … promoted the popularity of the
electric vehicles (EVs) and wide … and temperature of a cell for RUL predicting LIB capacity. It is …

… performing local optimization several times to increase the diversity of … applications, especially
in BMS for electric vehicles. … remaining useful life prediction: A deep learning approach[J]. …

… In addition, how to train machine learning models using less … charging time as HFs to
predict SOH coupled with an … for lithium-ion batteries under electric vehicle operation, J. Power …

… of data and by means of deep learning, it can better fit the … of the system, so as to further
improve the prediction accuracy. … forecasting using LSTM based hybrid ensemble learning. …

… Driver fatigue prediction using different sensor data with deep learning. In Proceedings of …
Effect of smart meter data collection frequency in an early detection of shorter duration voltage …

… In this paper, a RUL prediction framework combined with the … method, the complete ensemble
empirical mode decomposition … State of charge estimation method of electric vehicle power …

… , fault diagnosis and condition prediction of power equipment, is … Framework of ensemble
learning based on Stacking … 学习的深度强化学习 (deep reinforcement learning,DRL).DRL 结合…

… Li X, He KJ, Lai KK et al (2014) Forecasting crude oil price with multiscale denoising
ensemble model. Math Probl Eng 2014: 716571 382. Li X, Ma J, Shang W et al (2014) How does …

… growth of deep learning has been promoting deep learning-… , and average running times of
representative alternatives for … community, and carried out forecasting analysis, such as non-…

… at the precise time of its conception: the personalities of the members of the ensemble, the …
art music practice around 1850 was just such a prediction. Attali argues that the emphasis on …