Name
Abstract | ||
|---|---|---|
The global health epidemic caused by the breakout of a coronavirus disease in 2019 (COVID-19) has had a significant impact on the way we view our environment and live our daily lives. People should wear masks and maintain social distance as a precaution. As a result, detecting face masks has become a critical responsibility in assisting the global community. This report describes a simplified meth... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LifeTech53646.2022.9754884 | 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech) |
Keywords | DocType | ISBN |
Deep learning,COVID-19,Face recognition,Software algorithms,Software,Social factors,Life sciences | Conference | 978-1-6654-1904-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anis Zahirah Azman | 1 | 0 | 0.34 |
| Iffah Zulaikha Saiful Bahri | 2 | 0 | 0.34 |
| Sharifah Saon | 3 | 0 | 0.34 |
| Abd Kadir Mahamad | 4 | 0 | 0.34 |
| Mohd Anuaruddin bin Ahmadon | 5 | 0 | 0.34 |
| Shingo Yamaguchi | 6 | 0 | 1.01 |