Epilepsy is a neurological condition affecting around 50 million individuals worldwide,
reported by the World Health Organization. This is identified as a hypersensitive disease by …

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 …

The electroencephalogram (EEG), for measuring the electrophysiological activity of the
brain, has been widely applied in automatic detection of epilepsy seizures. Various EEG …

Epilepsy is an unavoidable major persistent and critical neurological disorder that influences
the human brain. Moreover, this is apparently distinguished via its recurrent malicious …

Epileptic seizures during sleep increase the probability of complications and sudden death
in patients. Effective epileptic seizure prediction in sleep can assist doctors (patients) in …

Background and objective Epilepsy the disorder of the central nervous system has its
worldwide presence in roughly 50 million people as estimated by the World Health …

In this paper, the efficiently extracted and reduced features using deep long short-term
memory (DLSTM) of the epileptic EEG signal integrated with minimum variance kernel …

Epilepsy is a neurological disorder caused by abnormal brain discharges, which can be
diagnosed by electroencephalography (EEG). Although EEG signals are usually easy to …

Deep learning-based epileptic seizure recognition via electroencephalogram signals has
shown considerable potential for clinical practice. Although deep learning algorithms can …

This paper presents a trainable hybrid approach involving a shallow autoencoder (AE) and
a conventional classifier for epileptic seizure detection. The signal segments of a channel of …