PM2.5 concentration estimation using convolutional neural network and gradient boosting machine

Author:

Luo Zhenyu,Huang Feifan,Liu Huan

Funder

National Natural Science Foundation of China

Royal Society - Newton Advanced Fellowship

Beijing Nova Program

Tsinghua University Initiative Scientific Research Program

Publisher

Elsevier BV

Subject

General Environmental Science,General Medicine,Environmental Chemistry,Environmental Engineering

Reference40 articles.

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2. Study on the nonlinear relationship among the visibility, PM2.5 concentration and relative humidity in Wuhan and the visibility prediction;Bai;Acta. Meteorol. Sin.,2016

3. Estimating urban PM10 and PM2.5 concentrations, based on synergistic MERIS/AATSR aerosol observations, land cover and morphology data;Beloconi;Remote Sens. Environ.,2016

4. Bengio, Y., 2009. Learning deep architectures for AI. Foundations & trends® in machine learning. 2, 1–127

5. Particle pollution estimation from images using convolutional neural network and weather features. 2018;Bo,2018

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