M.A, H., D.N.T, H., M.S.H, L., M, M., P.J, K., Z.Y, D., . . . 7103014445. (2023). Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model. Nature Research.
Chicago Style (17th ed.) CitationM.A, Hannan, et al. Deep Learning Approach Towards Accurate State of Charge Estimation for Lithium-ion Batteries Using Self-supervised Transformer Model. Nature Research, 2023.
MLA (9th ed.) CitationM.A, Hannan, et al. Deep Learning Approach Towards Accurate State of Charge Estimation for Lithium-ion Batteries Using Self-supervised Transformer Model. Nature Research, 2023.
Warning: These citations may not always be 100% accurate.