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Forecasting Air Pollutant Concentration Using a Novel Spatiotemporal Deep Learning Model Based on Clustering, Feature Selection and Empirical Wavelet Transform.

The Science of The Total Environment(2021)

Cited 36|Views42
Key words
Time series decomposition,Three dimensional convolutional neural net-work (3D-CNN),Bidirectional long short-term memory (BLSTM),Spatiotemporal correlation,Hierarchical clustering,Dynamic time warping (DTW)
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