Epilepsy Identification using Hybrid CoPrO-DCNN Classifier

The Electroencephalogram (EEG) stands as a burgeoning frontier in the study of neuronal activity, offering a rich tapestry of information crucial for identifying abnormalities and addressing cognitive disorders and irregularities.This paper delves into the examination of EEG from subjects exhibiting abnormalities, contrasting them with those from normal subjects.Various topographical features such as Mean, Entropy, and Wavelet bands are meticulously evaluated and compared.Inspired by the adaptive hunting strategies observed in coyotes, this study introduces a novel hybrid computational model that integrates deep learning architectures, aiming to amplify diagnostic accuracy.The methodology hinges upon the…