Analysis on COVID-19 Infection Spread Rate during Relief Schemes Using Graph Theory and Deep Learning
- DOI
- 10.1155/2022/8131193
- Published
- 2022-08-12
- Container
- Computational and Mathematical Methods in Medicine
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1155/2022/8131193,
title = {Analysis on COVID-19 Infection Spread Rate during Relief Schemes Using Graph Theory and Deep Learning},
author = {Ashokkumar Palanivinayagam and Ramesh Kumar Panneerselvam and P. J. Kumar and Hariharan Rajadurai and V. Maheshwari and Shaikh Muhammad Allayear},
year = {2022},
journal = {Computational and Mathematical Methods in Medicine},
doi = {10.1155/2022/8131193},
url = {https://doi.org/10.1155/2022/8131193}
}RIS
TY - JOUR TI - Analysis on COVID-19 Infection Spread Rate during Relief Schemes Using Graph Theory and Deep Learning AU - Ashokkumar Palanivinayagam AU - Ramesh Kumar Panneerselvam AU - P. J. Kumar AU - Hariharan Rajadurai AU - V. Maheshwari AU - Shaikh Muhammad Allayear PY - 2022 JO - Computational and Mathematical Methods in Medicine DO - 10.1155/2022/8131193 UR - https://doi.org/10.1155/2022/8131193 ER -
APA
Palanivinayagam, A., Panneerselvam, R. K., Kumar, P. J., Rajadurai, H., Maheshwari, V., & Allayear, S. M. (2022). Analysis on COVID-19 Infection Spread Rate during Relief Schemes Using Graph Theory and Deep Learning. Computational and Mathematical Methods in Medicine. https://doi.org/10.1155/2022/8131193
Source records
- crossref · retrieved 2026-09-25T17:01:40.332Z