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September 19, 2025AtmosphereOpen Access

A Deep Learning Model Integrating EEMD and GRU for Air Quality Index Forecasting

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Hybrid approach demonstrates improved accuracy in predicting air quality index, suggesting effective environmental forecasting.

The EEMD-GRU model achieved the highest prediction accuracy for air quality index forecasts.
Model evaluation metrics revealed significant improvements in prediction errors using EEMD techniques.
Both LSTM and GRU architectures were effective in capturing complex air quality data patterns.
The study utilized a comprehensive dataset from Xitun District, Taichung City, enhancing model training.

Huang et al. (2025) studied this question.

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