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Deep Learning for Air Pollution Predictive

  • R. Thamilselvan,
  • R. R. Rajalaxmi,
  • T. Kalpana,
  • Chockalingam Aravind Vaithilingam

摘要

This chapter propose the various deep learning models to predict the air pollution. Air pollution is one of the major environmental challenges in all the countries due to population density, emission from vehicle and industry. It leads to serious health issue [1] to all the people. Accurate measure of air quality is one of the major challenges and it is necessary to enable the government to take necessary steps to reduce the air pollution. This chapter propose the deep learningDeep learning techniques like Res-GCNRes-GCN, ConvolutionalConvolutional LSTM mode to predict the air pollution accurately in advance. These models use the multisource imagery and sensor data to predict the pollution.