Epilepsy stands out as one of the common neurological diseases. The neural activity of the
brain is observed using electroencephalography (EEG), which allows the diagnosis of …

Epilepsy is a highly prevalent disorder that can affect a person's quality of life. People with
epilepsy are commonly affected by reoccurring seizures that potentially cause injury or …

The detection of epileptic seizures is key for neurologists to initiate the right treatment at the
earliest. However, the traditional methods are dependent on manual diagnosis which are …

Epilepsy disease is one of the most prevalent neurological disorders caused by malfunction
of large symptoms number of neurons. That's lead us to propose an automated approach to …

An electroencephalogram, often known as an EEG, can detect neuronal activity by analysing
the electrical currents that are generated within the brain by a collection of specific pyramidal …

Epileptic attacks can be caused by irregularities in the electrical activities of the brain.
Electroencephalography (EEG) data demonstrating electrical activity in the brain play an …

This paper presents a literature survey for electroencephalogram (EEG) signal classification
approaches based on machine learning algorithms. EEG classification plays a vital role in …

Deep learning, particularly convolutional neural networks (CNNs), is increasingly used for
epileptic seizure detection, leveraging their ability to directly extract features from EEG …

AI ML Based industrial scenario is called 21 Era for medical science, here, Human brain
consists of millions of neurons can cause normal and abnormal activities. So, these …

One of the most predominant and hazardous medical conditions is epilepsy. Epileptic
seizures can cause direct death of patients. The occurrence of seizures is difficult to detect …