Name
Abstract | ||
|---|---|---|
In December 2019, a pandemic named COVID-19 broke out in Wuhan, China, and in a few weeks, it spread to more than 200 countries worldwide. Every country infected with the disease started taking necessary measures to stop the spread and provide the best possible medical facilities to infected patients and take precautionary measures to control the spread. As the infection spread was exponential, th... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSS.2021.3056769 | IEEE Transactions on Computational Social Systems |
Keywords | DocType | Volume |
COVID-19,Predictive models,Forecasting,Data models,Viruses (medical),Training,Recurrent neural networks | Journal | 8 |
Issue | ISSN | Citations |
4 | 2329-924X | 1 |
PageRank | References | Authors |
0.37 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Iqbal | 1 | 1 | 0.37 |
| Feras Al-Obeidat | 2 | 68 | 15.56 |
| Fahad Maqbool | 3 | 1 | 0.37 |
| Saad Razzaq | 4 | 15 | 3.96 |
| Sajid Anwar | 5 | 184 | 19.96 |
| Abdallah Tubaishat | 6 | 8 | 3.25 |
| Muhammad Shahrose Khan | 7 | 1 | 0.37 |
| Babar Shah | 8 | 1 | 0.37 |