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.
Long short-term memory,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.