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A Hybrid Deep Learning Method Based on CEEMDAN and Attention Mechanism for Network Traffic Prediction.

IEEE ACCESS(2023)

Cited 8|Views13
Key words
Telecommunication traffic,Feature extraction,Base stations,Deep learning,Data mining,Correlation,Market research,Network traffic prediction,deep learning,complete ensemble empirical mode decomposition with adaptive noise,temporal convolutional network,gated recurrent unit,attention mechanism
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