APA (7th ed.) Citation

Ullah, A., Muhammad, K., Haq, I. U., & Baik, S. W. (2019). Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments. Future generation computer systems, 96, 386-397. https://doi.org/10.1016/j.future.2019.01.029

Chicago Style (17th ed.) Citation

Ullah, Amin, Khan Muhammad, Ijaz Ul Haq, and Sung Wook Baik. "Action Recognition Using Optimized Deep Autoencoder and CNN for Surveillance Data Streams of Non-stationary Environments." Future Generation Computer Systems 96 (2019): 386-397. https://doi.org/10.1016/j.future.2019.01.029.

MLA (9th ed.) Citation

Ullah, Amin, et al. "Action Recognition Using Optimized Deep Autoencoder and CNN for Surveillance Data Streams of Non-stationary Environments." Future Generation Computer Systems, vol. 96, 2019, pp. 386-397, https://doi.org/10.1016/j.future.2019.01.029.