Abstract: Although current time-series forecasting methods have significantly improved the state-of-the-art (SOTA) results for long-sequence time-series forecasting (LSTF), they still have difficulty ...
Abstract: FPGAs have become an attractive option for deep learning algorithms acceleration due to their reconfigurability and abundant logic resources. However, facing large kernel convolution and ...
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