1. Deep air learning : prediction and feature analysis of air quality
Authors : Rekha Gs, Indrajeet Kumar, Dj Vineeth, Kushal Pandita, Abhishek M Patil
Pages : 67-69
DOI : http://dx.doi.org/10.21172/1.132.12
Keywords : Machine Learning , Interpolation , prediction , feature analysis , pollution control, societal impact. Abstract :The interpolation, prediction, and feature analysis of fine-gained air quality are three important topics in the area of urban air computing. A good interpolation solves the problem that there are limited air-quality-monitor-stations whose distribution is uneven in a city. A precise prediction Provides valuable information to protect humans from being damaged by air pollution. A reasonable feature analysis reveals the main relevant factors to the variation of air quality. In general, the solutions to these topics can extract extremely useful information to support air pollution control, and consequently generate great societal and technical impacts.
Citing this Journal Article :Rekha Gs, Indrajeet Kumar, Dj Vineeth, Kushal Pandita, Abhishek M Patil, "Deep air learning : prediction and feature analysis of air quality", Volume 13 Issue 2 - April 2019, 67-69
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