Electroencephalography (EEG) is a non-invasive measurement method for brain activity.
Due to its safety, high resolution, and hypersensitivity to dynamic changes in brain neural …

Electroencephalography (EEG) is a complicated, non-stationary signal that requires
extensive preprocessing and feature extraction approaches to be accurately analyzed. In …

Epilepsy is a brain disorder characterized by sudden seizures, periodic abnormal and
inappropriate behaviour, and an altered state of consciousness. The visual diagnosis of …

In machine learning based seizure detection research studies, the number of features
directly affects the performance of models. In order to decrease the amount of features under …

Automatic epileptic seizure detection technologies for clinical diagnosis mainly rely on
electroencephalogram (EEG) recordings, which are immensely useful tools for epileptic …

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

One of the most severe neurological conditions that abruptly changes a person's way of life
is epileptic seizures. Recent diagnostic approaches have concentrated on creating …

Performance prediction technology enhances the dependability and safety of solid oxide
fuel cell (SOFC) systems. However, unreasonable prediction objects and insufficient …

Epilepsy is a common noncommunicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Different approaches of basic, clinical, and …

Epilepsy is a common non-communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Researchers are working to automatically detect …