articleScientific ReportsMar 21, 2024GOLD OA

Optimized machine learning model for air quality index prediction in major cities in India

Jain University · Presidency University · +2 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

Industrial advancements and utilization of large amount of fossil fuels, vehicle pollution, and other calamities increases the Air Quality Index (AQI) of major cities in a drastic manner. Major cities AQI analysis is essential so that the government can take proper preventive, proactive measures to reduce air pollution. This research incorporates artificial intelligence in AQI prediction based on air pollution data. An optimized machine learning model which combines Grey Wolf Optimization (GWO) with the Decision Tree (DT) algorithm for accurate prediction of AQI in major cities of India. Air quality data available in the Kaggle repository is used for experimentation, and major cities like Delhi, Hyderabad,…

Citation impact

113
total citations
FWCI
21.08
Percentile
100%
References
53
Citations per year

Authors

5

Topics & keywords

Keywords
  • Air quality index
  • Random forest
  • Mean squared error
  • Support vector machine
  • Computer science
  • Air pollution
  • Decision tree
  • Machine learning
UN Sustainable Development Goals
  • Sustainable cities and communities
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