A variety of screening approaches have been proposed to diagnose epileptic seizures,
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …

The benefits of early detection and classification of epileptic seizures in analysis, monitoring
and diagnosis for the realization and actualization of computer-aided devices and recent …

Epileptic seizures are one of the most crucial neurological disorders, and their early
diagnosis will help the clinicians to provide accurate treatment for the patients. The …

Epilepsy is a chronic neurological disorder with a comparatively high prevalence rate. It is a
condition characterized by repeated and unprovoked seizures. Seizures are managed with …

Being able to predict the churn rate is the key to success for the telecommunication industry.
It is also important for the telecommunication industry to obtain a high profit. Thus, the …

Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …

Objective. Implanted devices providing real-time neural activity classification and control are
increasingly used to treat neurological disorders, such as epilepsy and Parkinson's disease …

During the past two decades, epileptic seizure detection and prediction algorithms have
evolved rapidly. However, despite significant performance improvements, their hardware …

Epilepsy is a neurological disease that affects nearly 60 million people around the world.
Electroencephalography (EEG) and Machine Learning (ML) can be used to detect epileptic …

Epilepsy is one of the most common neurological diseases of the human brain. It affects the
nervous system of brain which shows the impact on an individual's life because of its …