Name
Title | ||
|---|---|---|
Multimodal Detection of COVID-19 Symptoms using Deep Learning & Probability-based Weighting of Modes |
Abstract | ||
|---|---|---|
The COVID-19 pandemic is one of the most challenging healthcare crises during the 21st century. As the virus continues to spread on a global scale, the majority of efforts have been on the development of vaccines and the mass immunization of the public. While the daily case numbers were following a decreasing trend, the emergent of new virus mutations and variants still pose a significa... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WiMob52687.2021.9606355 | 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) |
Keywords | DocType | ISBN |
COVID-19,Deep learning,Wireless communication,Pandemics,Market research,Coronaviruses,Vaccines | Conference | 978-1-6654-2854-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meysam Effati | 1 | 0 | 0.34 |
| Yu-Chen Sun | 2 | 0 | 0.34 |
| hani naguib | 3 | 7 | 1.55 |
| Goldie Nejat | 4 | 293 | 28.76 |