Jamshidi, M.; Roshani, S.; Daneshfar, F.; Lalbakhsh, A.; Roshani, S.; Parandin, F.; Malek, Z.; Talla, J.; Peroutka, Z.; Jamshidi, A.;
et al. Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19. AI 2022, 3, 416-433.
https://doi.org/10.3390/ai3020025
AMA Style
Jamshidi M, Roshani S, Daneshfar F, Lalbakhsh A, Roshani S, Parandin F, Malek Z, Talla J, Peroutka Z, Jamshidi A,
et al. Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19. AI. 2022; 3(2):416-433.
https://doi.org/10.3390/ai3020025
Chicago/Turabian Style
Jamshidi, Mohammad (Behdad), Sobhan Roshani, Fatemeh Daneshfar, Ali Lalbakhsh, Saeed Roshani, Fariborz Parandin, Zahra Malek, Jakub Talla, Zdeněk Peroutka, Alireza Jamshidi,
and et al. 2022. "Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19" AI 3, no. 2: 416-433.
https://doi.org/10.3390/ai3020025
APA Style
Jamshidi, M., Roshani, S., Daneshfar, F., Lalbakhsh, A., Roshani, S., Parandin, F., Malek, Z., Talla, J., Peroutka, Z., Jamshidi, A., Hadjilooei, F., & Lalbakhsh, P.
(2022). Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19. AI, 3(2), 416-433.
https://doi.org/10.3390/ai3020025
