APA Zitierstil

Pustokhin, D. A., Pustokhina, I. V., Dinh, P. N., Phan, S. V., Nguyen, G. N., Joshi, G. P., & K, S. (2023). An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19. Journal of applied statistics, 50(3), 477. https://doi.org/10.1080/02664763.2020.1849057

Chicago Zitierstil

Pustokhin, Denis A., Irina V. Pustokhina, Phuoc Nguyen Dinh, Son Van Phan, Gia Nhu Nguyen, Gyanendra Prasad Joshi, und Shankar K. "An Effective Deep Residual Network Based Class Attention Layer with Bidirectional LSTM for Diagnosis and Classification of COVID-19." Journal of Applied Statistics 50, no. 3 (2023): 477. https://dx.doi.org/10.1080/02664763.2020.1849057.

MLA Zitierstil

Pustokhin, Denis A., et al. "An Effective Deep Residual Network Based Class Attention Layer with Bidirectional LSTM for Diagnosis and Classification of COVID-19." Journal of Applied Statistics, vol. 50, no. 3, 2023, p. 477.