Recently, some computer scientists have started exploring the possibility of modeling feature learning in DNNs using frameworks and approaches rooted in physics.

MATLAB implementation for lie detection using EEG signals. It uses wavelet-based feature extraction, Variational Mode Decomposition (VMD), advanced feature selection, and ensemble classifiers to ...

Brain-Computer Interfaces (BCI), cognitive research, and medical diagnosis all make extensive use of electroencephalography (EEG) to analyze brain activity. However, issues with EEG signal processing ...

Using various image categorisation algorithms with a set of test data - Algorithms implemented include k-Nearest Neighbours (kNN), Support Vector Machine (SVM), then also either of the previously ...

A consistent part of gas sensor research activities aims to improve sensing performances by synthesizing new sensing materials, improving the selection of elements in arrays, and optimizing the ...

Therefore, there is a critical need for efficient feature extraction methods demanding low computational time. This paper introduces a new feature extraction technique based on the Gershgorin Circle ...

Methods: PaWFE (Parallel Window Feature Extractor) extracts the signal features from several time windows in parallel. The MATLAB code is publicly available and supports several time domain and ...