Epileptic seizure is one of the most chronic neurological diseases that instantaneously
disrupts the lifestyle of affected individuals. Toward develo** novel and efficient …

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

In the age of industry 4.0, deep learning has attracted increasing interest for various
research applications. In recent years, deep learning models have been extensively …

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 …

Abstract Purpose Parkinson's Disease comes on top among neurodegenerative diseases
affecting 10 million worldwide. To detect Parkinson's Disease in a prior state, gait analysis is …

The number of devices connected to the Internet is increasing day by day. This increase
causes cyber-attacks to be larger and more complex. It is important to sdetect the anomalies …

Accurate and reliable automatic fall detection based on wearable devices enables elderly
people to receive instant treatment and can alleviate the severe consequences of falls. Falls …

Recognition of human actions in partially cluttered environments is an important research
field of computer vision and human-computer interaction. This field has recently garnered …

Electroencephalography is the recording of brain electrical activities that can be used to
diagnose brain seizure disorders. By identifying brain activity patterns and their …

Accurate remaining useful life (RUL) analysis of a machinery system is of great importance.
Such systems work in long-term operations in which unexpected failures often occur. Due to …