Epilepsy is considered as a serious brain disorder in which patients frequently experience
seizures. The seizures are defined as the unexpected electrical changes in brain neural …

An efficient feature extraction method for two classes of electroencephalography (EEG) is
demonstrated using Common Spatial Patterns (CSP) with optimal spatial filters. However …

Automatic seizure detection from electroencephalography (EEG) based on deep learning
has been significantly improved. However, existing works have not adequately excavate the …

To identify epilepsy, Electroencephalography (EEG) is an important and common tool used
to study the electrical activity of the human brain. The machine learning-based classifier is …

Epilepsy is a chronic neurological disorder that may be diagnosed and monitored using
routine diagnostic tests like Electroencephalography (EEG). However, manual introspection …

Brain Epilepsy seizure is a critical disorder, which is an uncontrolled burst of electrical
activity of brain. The early detection of brain seizure can save the life of humans. The …

In this paper, data-driven modeling is used to predict the chaotic time series of a two-degree-
of-freedom nonlinear system of the beam-ring model. To accurately predict the chaotic time …

Professional medical experts use a visual electroencephalography (EEG) signal for epileptic
seizure detection, although this method is time‐consuming and highly subject to bias. The …

In this case, the conversion of thermoelectric energy into electrical current is accomplished
using Peltier cells. Thermoelectricity generators (TEGs) or See beck generators are solid …

For any wireless communication system, having an antenna is essential. However, it can be
challenging to evaluate them, especially when developing new technology for intelligent …