To extract information from the brain, the most cost-effective method is electroencephalography (EEG) signal acquisition. Therefore, many researchers have used EEG signals to capture brain activity. EEG signals are complex; hence, computer-aided models—especially machine learning (ML)—are generally employed to interpret them. The primary objective of this research is to demonstrate the feature-extraction capability of a new, n...