Optimized machine learning model for air quality index prediction in major cities in India
Jain University · Presidency University · +2 more institutions
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
- FWCI
- 21.08
- Percentile
- 100%
- References
- 53
Authors
5Topics & keywords
- Air quality index
- Random forest
- Mean squared error
- Support vector machine
- Computer science
- Air pollution
- Decision tree
- Machine learning
- Sustainable cities and communities