MCS-RF: mobile crowdsensing–based air quality estimation with random forest
It is a great challenge to offer a fine-grained and accurate PM 2.5 monitoring service in urban areas as required facilities are very expensive and huge. Since PM 2.5 has a significant scattering effect on visible light, large-scale user-contributed image data collected by the mobile crowdsensing br...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718804702 |
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