Deep learning-derived optimal aviation strategies to control pandemics

Syed Rizvi, Akash Awasthi, Maria J. Peláez, Zhihui Wang, Vittorio Cristini, Hien Van Nguyen, Prashant Dogra

Open source

DOI
10.1038/s41598-024-73639-7
Published
2024-10-02
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41598-024-73639-7,
  title = {Deep learning-derived optimal aviation strategies to control pandemics},
  author = {Syed Rizvi and Akash Awasthi and Maria J. Peláez and Zhihui Wang and Vittorio Cristini and Hien Van Nguyen and Prashant Dogra},
  year = {2024},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-024-73639-7},
  url = {https://doi.org/10.1038/s41598-024-73639-7}
}

RIS

TY  - JOUR
TI  - Deep learning-derived optimal aviation strategies to control pandemics
AU  - Syed Rizvi
AU  - Akash Awasthi
AU  - Maria J. Peláez
AU  - Zhihui Wang
AU  - Vittorio Cristini
AU  - Hien Van Nguyen
AU  - Prashant Dogra
PY  - 2024
JO  - Scientific Reports
DO  - 10.1038/s41598-024-73639-7
UR  - https://doi.org/10.1038/s41598-024-73639-7
ER  - 

APA

Rizvi, S., Awasthi, A., Peláez, M. J., Wang, Z., Cristini, V., Nguyen, H. V., & Dogra, P. (2024). Deep learning-derived optimal aviation strategies to control pandemics. Scientific Reports. https://doi.org/10.1038/s41598-024-73639-7

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