During the recent decade, deep learning technology, particularly deep neural network (DNN), has gained tremendous popularity in various fields including signal processing (SP). As a data-driven ...

Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Classification and regression performance is typically measured using metrics such as accuracy and AUC for classification, or mean squared error for regression. These ...

Abstract: System identification plays an important role in system control and controller tuning. Data-driven identification provides a behavioristic model of an identified system or process that can ...

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

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