ArticleScientific reports2024
Optimized machine learning model for air quality index prediction in major cities in India.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Hybrid multilayer perceptron models optimized by evolutionary algorithms for urban air quality forecasting: a case study of Shiraz, Iran.Scientific reports · 2026Article
- Regression based hybrid machine learning model performance evaluation on air quality index prediction in Kolkata.Scientific reports · 2026Article
- Systematic exposure bias in city-level air quality reporting revealed by 38 years of Indian observations.Scientific reports · 2026Article
- Air quality index prediction using machine learning regression models: A comparative analysis.PloS one · 2026Article
- Enhanced deep learning networks integrated by fractals for air quality index analysis.Frontiers in artificial intelligence · 2026Article
- A hybrid physics-informed neural and explainable AI approach for scalable and interpretable AQI predictions.MethodsX · 2025Article
- Explainable forecasting of air quality index using a hybrid random forest and ARIMA model.MethodsX · 2025Article
- Leveraging artificial intelligence to enable sustainable urban development through the creation of smart and environmentally friendly carbon-free cities.Scientific reports · 2025Article
- Advanced air quality prediction using multimodal data and dynamic modeling techniques.Scientific reports · 2025Article
- Exploring PMScientific reports · 2025Article
- Efficient multi-station air quality prediction in Delhi with wavelet and optimization-based models.PloS one · 2025Article
- A hybrid deep learning framework for SEM-based air pollutant analysis: Mamba integration and GAN-augmented training.Frontiers in artificial intelligence · 2025Article
- Effects of Air Quality Index and meteorological factors on cardiovascular and cerebrovascular mortality in Huizhou, China: a time-series analysis using distributed lag nonlinear models.Frontiers in public health · 2025Article
- RETRACTED: Interpretable machine learning framework for predicting Urban air quality.PloS one · 2025Article
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5 authors.
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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, Kolkata, Bangalore, Visakhapatnam, and Chennai are considered for analysis. The proposed model performance is experimentally verified through metrics like R-Square, RMSE, MSE, MAE, and accuracy. Existing machine learning models, like k-nearest Neighbor, Random Forest regressor, and Support vector regressor, are compared with the proposed model. The proposed model attains better prediction performance compared to traditional machine learning algorithms with maximum accuracy of 88.98% for New Delhi city, 91.49% for Bangalore city, 94.48% for Kolkata, 97.66% for Hyderabad, 95.22% for Chennai and 97.68% for Visakhapatnam city.
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