Cite
CL-Net: ConvLSTM-Based Hybrid Architecture for Batteries' State of Health and Power Consumption Forecasting.
MLA
Khan, Noman, et al. “CL-Net: ConvLSTM-Based Hybrid Architecture for Batteries’ State of Health and Power Consumption Forecasting.” Mathematics (2227-7390), vol. 9, no. 24, Dec. 2021, p. 3326. EBSCOhost, https://doi.org/10.3390/math9243326.
APA
Khan, N., Haq, I. U., Ullah, F. U. M., Khan, S. U., & Lee, M. Y. (2021). CL-Net: ConvLSTM-Based Hybrid Architecture for Batteries’ State of Health and Power Consumption Forecasting. Mathematics (2227-7390), 9(24), 3326. https://doi.org/10.3390/math9243326
Chicago
Khan, Noman, Ijaz Ul Haq, Fath U Min Ullah, Samee Ullah Khan, and Mi Young Lee. 2021. “CL-Net: ConvLSTM-Based Hybrid Architecture for Batteries’ State of Health and Power Consumption Forecasting.” Mathematics (2227-7390) 9 (24): 3326. doi:10.3390/math9243326.