Prediction of Particulate Matter 2.5 Concentration Using a Deep Learning Model with Time-Frequency Domain Information

In recent years, deep learning models have gained significant traction and found extensive applications in the realm of PM2.5 concentration prediction. PM2.5 concentration sequences are rich in frequency information; however, existing PM2.5 concentration prediction models lack the ability to capture...

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Bibliografski detalji

Glavni autori:	Xueming Tang, Nan Wu, Ying Pan
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-11-01
Serija:	Applied Sciences
Teme:	air quality prediction deep learning BiLSTM DCT attention mechanism
Online pristup:	https://www.mdpi.com/2076-3417/13/23/12794
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