Imbalanced datasets pose significant challenges in areas including neuroscience, cognitive
science, and medical diagnostics, where accurately detecting minority classes is essential …

One of the most important problems in virtual environments (VEs) is the difficulty users face
when trying to deal with increasingly complex systems. Thus, giving machines the ability to …

Detecting stress is important for improving human health and potential, because moderate
levels of stress may motivate people towards better performance at cognitive tasks, while …

As an essential component of human–computer interaction, affective computing has
garnered extensive attention from the academic community. Identifying …

Neuroimaging techniques have significantly advanced our understanding of emotional
regulation by elucidating the neural mechanisms involved. This review synthesizes findings …

Objective: To identify potential genetic risk factors for sleep disorders (SD) and to explore the
causal associations between lifestyle factors and clinical features with SD, given the …