The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

Background Chronic obstructive pulmonary disease (COPD) is a leading cause of global mortality, yet existing risk prediction models remain limited. This study aimed to develop and validate a ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...

Department of Chemical, Biological, Pharmaceutical and Environmental Sciences (CHIBIOFARAM), University of Messina, Viale Ferdinando D’Alcontres 13, I-98166 Messina, Italy ...

K-Fold cross validation is popular in machine learning, but it’s not always the best choice. Discover the limitations and pitfalls of K-Fold CV, and learn when alternative validation methods might ...

Background: Type 2 diabetes mellitus (T2DM) is a common comorbidity of chronic obstructive pulmonary disease (COPD), which significantly increases the risk of rehospitalization and mortality in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With the rapid growth of artificial intelligence and machine learning across ...