Abstract: Cognitive load (CL) refers to the mental effort placed on working memory while processing, understanding, and carrying out a task. Assessing the level of cognitive load is crucial for ...

Amplifying words and ideas to separate the ordinary from the extraordinary, making the mundane majestic. Amplifying words and ideas to separate the ordinary from the ...

Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness. John Fetterman reacts to Elon Musk offering to pay TSA agent salaries Bad gas pump habits ...

ABSTRACT: Meditation offers a controlled behavioral context for probing attention, arousal, and self-regulation. Rather than positioning the present work as a discovery of novel neural signatures, we ...

This repository contains the mini project for the ECS7020P Principles of Machine Learning course at Queen Mary University of London. This project develops an automated song recognition system capable ...

Acute sleep deprivation significantly impacts cognitive function, contributes to accidents, and increases the risk of chronic illnesses, underscoring the need for reliable and objective diagnosis. Our ...

Background: Wearable electroencephalography (EEG) devices enable noninvasive, real-time monitoring of cognitive states such as attention and stress. However, their practical deployment is limited by ...

Abstract: Many intriguing applications, such as the ability to move prosthetic limbs and enable more fluid man-machine contact, may be made possible by automatic interpretation of brain readings. The ...

NeuroDetect is a cutting-edge web application that leverages advanced machine learning algorithms to detect epileptic seizures from EEG (Electroencephalogram) signals. The platform provides healthcare ...