Researchers use machine learning to distinguish between mental and neuromuscular fatigue in elite youth table tennis players through new data analysis method.

Drug-drug interactions (DDI) can cause adverse drug reactions during the co-administration of multiple drugs, necessitating accurate and scalable prediction tools. While deep learning models have ...

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

Cybersecurity researchers are warning that the foundations of digital trust are under strain as malware grows more adaptive, evasive and collaborative. In response, a team of Romanian scientists has ...

Astronomers are now leveraging artificial intelligence to sift through vast amounts of exoplanet data, a task impossible for ...

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 ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Introduction: By issuing work-break reminders, for example, personal assistants for cognitive load could be beneficial in maintaining health and life satisfaction in society. Wearable sensors ...

Abstract: In this paper, we propose a learning-based method utilizing the Soft Actor-Critic (SAC) algorithm to train a binary Support Vector Machine (SVM) classifier. This classifier is designed to ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...