Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Background Malnutrition influences prognosis in patients with heart failure, but current nutritional evaluation methods are ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Objective To estimate the incidence of herpes zoster (HZ) and the incremental healthcare resource utilisation (HRU) and costs ...

Western New York has gotten an early taste of winter this season, with two lake effect systems and one Nor’easter in late November and early December. Snow, ice and high winds have battered the area ...

Abstract: Generalizations and variations of the fundamental lemma by Willems et al. are an active topic of recent research. In this note, we explore and formalize the links between kernel regression ...

Abstract: This research paper addresses the pressing issue of air quality monitoring and prediction using machine learning algorithms. With a dataset comprising pollutant levels from various states, ...

This project implements a comprehensive Computer Vision MLOps pipeline for aerial object analysis, specifically designed to classify and detect birds vs drones in aerial imagery. The system combines: ...

Like its predecessor, “Wicked: For Good” more than doubles the runtime of Act II of the Broadway musical that inspired it. But unlike the first “Wicked” film, the sequel makes big additions to the ...

The world of data analysis is rich with methodologies, each designed to extract unique insights from the raw information we collect. Two fundamental techniques in this domain are classification and ...