Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19
- DOI
- 10.3390/biology9120477
- Published
- 2020-12-18
- Container
- Biology
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/biology9120477,
title = {Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19},
author = {Tô Tat Dat and Protin Frédéric and Nguyen T. T. Hang and Martel Jules and Nguyen Duc Thang and Charles Piffault and Rodríguez Willy and Figueroa Susely and Hông Vân Lê and Wilderich Tuschmann and Nguyen Tien Zung},
year = {2020},
journal = {Biology},
doi = {10.3390/biology9120477},
url = {https://doi.org/10.3390/biology9120477}
}RIS
TY - JOUR TI - Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19 AU - Tô Tat Dat AU - Protin Frédéric AU - Nguyen T. T. Hang AU - Martel Jules AU - Nguyen Duc Thang AU - Charles Piffault AU - Rodríguez Willy AU - Figueroa Susely AU - Hông Vân Lê AU - Wilderich Tuschmann AU - Nguyen Tien Zung PY - 2020 JO - Biology DO - 10.3390/biology9120477 UR - https://doi.org/10.3390/biology9120477 ER -
APA
Dat, T. T., Frédéric, P., Hang, N. T. T., Jules, M., Thang, N. D., Piffault, C., Willy, R., Susely, F., Lê, H. V., Tuschmann, W., & Zung, N. T. (2020). Epidemic Dynamics via Wavelet Theory and Machine Learning with Applications to Covid-19. Biology. https://doi.org/10.3390/biology9120477
Source records
- crossref · retrieved 2026-09-26T22:43:52.102Z