Tat Dat, T.; Frédéric, P.; Hang, N.T.T.; Jules, M.; Duc Thang, N.; Piffault, C.; Willy, R.; Susely, F.; Lê, H.V.; Tuschmann, W.;
et al. Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19. Biology 2020, 9, 477.
https://doi.org/10.3390/biology9120477
AMA Style
Tat Dat T, Frédéric P, Hang NTT, Jules M, Duc Thang N, Piffault C, Willy R, Susely F, Lê HV, Tuschmann W,
et al. Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19. Biology. 2020; 9(12):477.
https://doi.org/10.3390/biology9120477
Chicago/Turabian Style
Tat Dat, Tô, Protin Frédéric, Nguyen T. T. Hang, Martel Jules, Nguyen Duc Thang, Charles Piffault, RodrÃguez Willy, Figueroa Susely, Hông Vân Lê, Wilderich Tuschmann,
and et al. 2020. "Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19" Biology 9, no. 12: 477.
https://doi.org/10.3390/biology9120477
APA Style
Tat Dat, T., Frédéric, P., Hang, N. T. T., Jules, M., Duc Thang, N., Piffault, C., Willy, R., Susely, F., Lê, H. V., Tuschmann, W., & Tien Zung, N.
(2020). Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19. Biology, 9(12), 477.
https://doi.org/10.3390/biology9120477