Music is an archaic form of emotional expression and arousal that can induce strong
emotional experiences in listeners, which has important research and practical value in …

The human liver exhibits variable characteristics and anatomical information, which is often
ambiguous in radiological images. Machine learning can be of great assistance in …

EEG signals, closely linked to acoustic signals, are extensively employed in acoustic
environment research. This paper provides an in-depth analysis of current research to …

Brain disorders pose a substantial global health challenge, persisting as a leading cause of
mortality worldwide. Electroencephalogram (EEG) analysis is crucial for diagnosing brain …

Classroom EEG recordings classification has the capacity to significantly enhance
comprehension and learning by revealing complex neural patterns linked to various …

Electrical and mechanical equipment with rotating parts often face the challenge of early
breakdown due to defects in the gears or rolling bearings. Automated industrial systems can …

The functional activities of the brain during any task like imaginary, motor, or cognitive are
different in pattern as well as their area of activation in the brain is also different. This …

This paper aims to provide an automatic analysis of music emotion, enhancing users' ability
to perceive and comprehend the emotional nuances conveyed in music intuitively. It first …

The use of EEG to recognize human emotions has become a notable trend and
breakthrough today. EEG-based emotion recognition is a form of research that uses …

In the current diversified music creation and consumption environment, the incubation of
high-quality music is facing unprecedented challenges, partly due to the significant …