Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Abstract: Driving behaviour recognition and crash risk prediction are essential for ensuring road safety and developing intelligent transportation systems. However, machine learning models face major ...

Scientific Machine Learning (SciML) represents a multi-disciplinary approach that fuses the physical laws governing a system (such as equations from physics or engineering) with data-driven machine ...

Background: Preeclampsia is a severe hypertensive disorder with rising global prevalence. While machine learning (ML) models for predicting preeclampsia are increasingly published, existing evidence ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

JPMorgan forecasts Bitcoin could reach $170,000 by 2026, with $94,000 as the production-cost floor. The bank’s prediction relies on Bitcoin’s volatility ratio narrowing relative to gold’s $28.3 ...

Department of Chemistry, Waterloo Data and Artificial Intelligence Institute and Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada ...

The NFL schedule has reached Week 3 and the Sunday Night Football matchup will feature the New York Giants (0-2) hosting the Kansas City Chiefs (0-2). Veteran quarterbacks Russell Wilson and Patrick ...

This project is for educational purposes only. It is not a guaranteed profit tool and should not be used for gambling. The purpose is to demonstrate OCR, real-time data capture, and ML prediction ...