Investigating gender differences based on emotional changes using electroencephalogram
(EEG) is essential to understand various human behavior in the individual situation in our …

Investigating gender differences based on emotional changes supports automatic
interpretation of human intentions and preferences. This allows emotion applications to …

Nowadays, abnormal brain activities can be automatically detected and classified by
processing EEG signals. In this paper, the classification process of EEG signals collected …

The motivation of this study was to detect the most effective electroencephalogram (EEG)
channels for various emotional states of the brain regions (ie frontal, temporal, parietal and …

Investigating gender differences based on emotional changes becomes essential to
understand various human behaviors in our daily life. Ten students from the University of …

Seizures, which last for a while and are a symptom of epilepsy, are bouts of excessive and
abnormally synchronized neuronal activity in the patient's brain. For young children, in …

Stroke is a major cause of mortality worldwide, disrupts cerebral blood flow, leading to
severe brain damage. Hemiplegia, a common consequence, results in motor task loss on …

Epilepsy is one of the most common brain diseases, characterised by repeated seizures that
occur on a regular basis. During a seizure, a patient's muscles flex uncontrollably, causing a …

The vibration signals collected by the sensor often have non-stationary and non-linear
characteristics owing to the complexity of working environment of rolling bearing, so it is …

Activated carbon derived from Ficus Binjamina agro-waste synthesized by pyro carbonic
acid microwave method and treated with silicon oxide (SiO2) was used to enhance the …