Article Versions Notes

Jamshidi MB, Roshani S, Talla J, Lalbakhsh A, Peroutka Z, Roshani S, Parandin F, Malek Z, Daneshfar F, Niazkar HR, et al. A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading. AI. 2022; 3(2):493-511. https://doi.org/10.3390/ai3020028

Jamshidi, Mohammad Behdad, Sobhan Roshani, Jakub Talla, Ali Lalbakhsh, Zdeněk Peroutka, Saeed Roshani, Fariborz Parandin, Zahra Malek, Fatemeh Daneshfar, Hamid Reza Niazkar, and et al. 2022. "A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading" AI 3, no. 2: 493-511. https://doi.org/10.3390/ai3020028

Jamshidi, M. B., Roshani, S., Talla, J., Lalbakhsh, A., Peroutka, Z., Roshani, S., Parandin, F., Malek, Z., Daneshfar, F., Niazkar, H. R., Lotfi, S., Sabet, A., Dehghani, M., Hadjilooei, F., Sharifi-Atashgah, M. S., & Lalbakhsh, P. (2022). A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading. AI, 3(2), 493-511. https://doi.org/10.3390/ai3020028