Novel Framework Achieves 91 Percent Accuracy in Music Emotion Recognition
Researchers developed a computational model that combines recurrent temporal memory, sparse filtering, and rule-based binding to predict music-induced emotional states ...
Researchers developed a computational model that combines recurrent temporal memory, sparse filtering, and rule-based binding to predict music-induced emotional states ...
A leakage-controlled multimodal study reveals that hybrid deep learning models predicting continuous psychological stress fail to outperform baseline averages when ...
A new multimodal dataset pairs self-reported cybersickness with EEG, cardiovascular, respiration, and head movement data from sixty participants in an ...
A systematic review of 20 studies finds chaos theory applied across cardiology, neurology and oncology, but with wide heterogeneity and ...
A controlled VR experiment in Guangzhou's old town links lower perceived nighttime safety among young women to weak lighting, visual ...
Chronic stress has become one of the defining health burdens of the modern era, quietly fueling hypertension, depression, burnout, and ...
Researchers at Lanzhou University have developed AMGFM, a multimodal AI model that fuses EEG, eye movement, and pupil signals to ...
Researchers have developed a three-step framework combining visual inspection and automated physiological classification to assess the reliability of time-stamped clinical ...
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© 2026 Scienmag - Science Magazine