Hong, J., Lee, D., Jeong, E., & Yi, Y. (2020). Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning. Applied Energy, 278, N.PAG. https://doi.org/10.1016/j.apenergy.2020.115646
Chicago Style (17th ed.) CitationHong, Joonki, Dongheon Lee, Eui-Rim Jeong, and Yung Yi. "Towards the Swift Prediction of the Remaining Useful Life of Lithium-ion Batteries with End-to-end Deep Learning." Applied Energy 278 (2020): N.PAG. https://doi.org/10.1016/j.apenergy.2020.115646.
MLA (9th ed.) CitationHong, Joonki, et al. "Towards the Swift Prediction of the Remaining Useful Life of Lithium-ion Batteries with End-to-end Deep Learning." Applied Energy, vol. 278, 2020, p. N.PAG, https://doi.org/10.1016/j.apenergy.2020.115646.