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Found 3 papers, 2 papers with code
FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
Time Series Forecasting plays a crucial role in various fields such as industrial equipment maintenance, meteorology, energy consumption, traffic flow and financial investment.
Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagation
Reinforcement learning(RL) algorithms face the challenge of limited data efficiency, particularly when dealing with high-dimensional state spaces and large-scale problems.
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting
However, use of FT is problematic due to Gibbs phenomenon.
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