APA (7th ed.) Citation

Khan, M., Wang, H., Riaz, A., Elfatyany, A., & Karim, S. (2021). Bidirectional LSTM-RNN-based hybrid deep learning frameworks for univariate time series classification. The Journal of supercomputing, 77(7), 7021-7045. https://doi.org/10.1007/s11227-020-03560-z

Chicago Style (17th ed.) Citation

Khan, Mehak, Hongzhi Wang, Adnan Riaz, Aya Elfatyany, and Sajida Karim. "Bidirectional LSTM-RNN-based Hybrid Deep Learning Frameworks for Univariate Time Series Classification." The Journal of Supercomputing 77, no. 7 (2021): 7021-7045. https://doi.org/10.1007/s11227-020-03560-z.

MLA (9th ed.) Citation

Khan, Mehak, et al. "Bidirectional LSTM-RNN-based Hybrid Deep Learning Frameworks for Univariate Time Series Classification." The Journal of Supercomputing, vol. 77, no. 7, 2021, pp. 7021-7045, https://doi.org/10.1007/s11227-020-03560-z.