Name
Abstract | ||
|---|---|---|
This article devises a photograph-based monitoring model to estimate the real-time PM2.5 concentrations, overcoming currently popular electrochemical sensor-based PM2.5 monitoring methods’ shortcomings such as low-density spatial distribution and time delay. Combining the proposed monitoring model, the photographs taken by various camera devices (e.g., surveillance camera, au... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2021.3105394 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Feature extraction,Monitoring,Atmospheric modeling,COVID-19,Atmospheric measurements,Transforms,Temperature measurement | Journal | 32 |
Issue | ISSN | Citations |
10 | 2162-237X | 1 |
PageRank | References | Authors |
0.35 | 16 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ke Gu | 1 | 1321 | 77.21 |
| Hongyan Liu | 2 | 1 | 0.35 |
| Zhifang Xia | 3 | 1 | 0.35 |
| Jun-Fei Qiao | 4 | 69 | 15.62 |
| Weisi Lin | 5 | 5366 | 280.14 |
| Daniel Thalmann | 6 | 4940 | 637.85 |