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What is AQI Forecasting Using Hybrid ARIMA about?
This research presents a hybrid framework for forecasting the Air Quality Index (AQI) by integrating ARIMA, Random Forest, and LSTM models, along with meteorological feature analysis and explainable AI. The study highlights the importance of accurate AQI forecasting for public health and environmental management, emphasizing the limitations of traditional models in capturing complex patterns. By combining statistical, machine learning, and deep learning techniques, the proposed framework aims to improve pre
- Author
- jiyabhattjb05
- Language
- EN