Cite
A hybrid neural network based on variational mode decomposition denoising for predicting state-of-health of lithium-ion batteries.
MLA
Yuan, Zifan, et al. “A Hybrid Neural Network Based on Variational Mode Decomposition Denoising for Predicting State-of-Health of Lithium-Ion Batteries.” Journal of Power Sources, vol. 609, July 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.jpowsour.2024.234697.
APA
Yuan, Z., Tian, T., Hao, F., Li, G., Tang, R., & Liu, X. (2024). A hybrid neural network based on variational mode decomposition denoising for predicting state-of-health of lithium-ion batteries. Journal of Power Sources, 609, N.PAG. https://doi.org/10.1016/j.jpowsour.2024.234697
Chicago
Yuan, Zifan, Tian Tian, Fuchong Hao, Gen Li, Rong Tang, and Xueqin Liu. 2024. “A Hybrid Neural Network Based on Variational Mode Decomposition Denoising for Predicting State-of-Health of Lithium-Ion Batteries.” Journal of Power Sources 609 (July): N.PAG. doi:10.1016/j.jpowsour.2024.234697.