Abstract: Drawing insights from Large Language Models, researchers have developed several Large Electroencephalogram (EEG) models (LEMs) to learn a generalized representation adaptable to various ...
Abstract: This article presents a novel learning-based approach for online state estimation in flapping-wing aerial vehicles (FWAVs). Leveraging low-cost magnetic, angular rate, and gravity (MARG) ...
ABSTRACT: Kernel Density Estimation (KDE) is widely used for estimating unknown probability densities. Classical kernel forms are fixed-shape smoothers that may degrade under skewness and ...
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