SVR machine learning and SARIMA-based air quality index classification and forecasting system - Bahadure, Nilesh Bhaskarrao; Gonge, Sudhanshu; Parashar, Deepak; Shah, Bhoomi; Patil, Prasenjeet Damodar; Renugadevi, M.; Raju, Nagrajan (Discover applied sciences, 2025)
Keywords: Accuracy; Air monitoring; Air pollution; Air quality; Algorithms; Applied and Technical Physics; Artificial intelligence; Autoregressive moving-average models; Chemistry/Food Science; Classification; Climate change; Clustering; Confidence intervals; Decision making; Earth Sciences; Ecosystems; Engineering; Environment; Environmental monitoring; International organizations; Learning algorithms; Machine learning; Materials Science; Nitrogen dioxide; Outdoor air quality; Perceptions; Performance enhancement; Pollutants; Pollution control; Pollution levels; Predictions; Public awareness; Quality management; Recall; Statistical analysis; Support vector machines; Sustainable development; Trends; VOCs; Volatile organic compounds; Seasonal autoregressive integrated moving average (SARIMA); Support vector regression; Time-series; Air quality index (AQI); Machine learning