Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Abstract: Limited EEG data and subject variability pose significant challenges to the generalization of EEG-based emotion recognition. Most existing approaches augment EEG data using deterministic ...
Abstract: Electroencephalography (EEG) serves as a reliable and objective signal for emotion recognition in affective braincomputer interfaces, offering unique advantages through its high temporal ...
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