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

Accurate prediction of the air quality index (AQI) is essential for environmental monitoring and sustainable urban planning. With rising pollution from industrialization and urbanization, particularly from fine particulate matter (PM_2.5, PM₁₀), nitrogen dioxide (NO₂)...

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Bibliografski detalji

Glavni autori:	Mei-Ling Huang, Netnapha Chamnisampan, Yi-Ru Ke
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-09-01
Serija:	Atmosphere
Teme:	air quality index (AQI) deep learning gated recurrent unit (GRU) long short-term memory (LSTM) neural networks ensemble empirical mode decomposition (EEMD)
Online pristup:	https://www.mdpi.com/2073-4433/16/9/1095
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