APS-LSTM combines FFT-based multi-period division, periodic and spatial self-attention, and LSTM encoding to improve flood flow forecasts on two real-world watershed datasets.
Daily long-term traffic flow forecasting based on a deep neural network,
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APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting
APS-LSTM combines FFT-based multi-period division, periodic and spatial self-attention, and LSTM encoding to improve flood flow forecasts on two real-world watershed datasets.