Estimate air quality based on mobile crowe sensing and big data

@article{Feng2017EstimateAQ,
  title={Estimate air quality based on mobile crowe sensing and big data},
  author={Cheng Feng and Wendong Wang and Ye Tian and Xirong Que and Xiangyang Gong},
  journal={2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)},
  year={2017},
  pages={1-9}
}
PM2.5 (particulate matter in the atmosphere with a diameter no more than 2.5 microns) in the air can cause great damage to human beings. It's a great challenge to offer a fine-grained and accurate PM2.5 monitoring service in urban areas as the required facilities are very expensive and huge. Since the PM2.5 has a significant scattering effect on visible light, the large-scale user-contributed image data collected by the mobile crowd sensing bring a new opportunity for understanding the urban… CONTINUE READING

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  • The experimental results show that we have a high evaluation accuracy on PM2.5 estimation (precision: 0.875, recall: 0.872), which outperforms existing methods (Logistic, Naive Bayes, Random Tree, and BP ANN).

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