Abstract: Operational frequency selection is a critical spot for ensuring high-frequency (HF) communication’s optimal quality, thus accurate prediction of usable frequency is essential to HF ...
Abstract: Random Fourier Features (RFF) are widely employed in machine learning to approximate kernel functions with low-dimensional feature mappings, effectively reducing computational cost and ...
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