The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

Abstract: Machine learning (ML) is being widely used to help diagnose diseases and track how they progress. In this project, we used different ML techniques on the Z-Alizadeh Sani public UCI dataset, ...

Artificial intelligence is racing toward 2026 with a mix of promise and dread, and the scariest predictions are no longer ...

Predictive algorithms help retailers leverage historical data and trend analysis to forecast future product demand with greater accuracy. Retailers forecast ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

The intersection of AI and Wi-Fi will be the dominant theme in 2026 and beyond, with opportunities flowing in both directions.

CIGO Tracker's AI system continuously refines its predictions by analyzing new delivery data and identifying emerging patterns. The machine learning algorithms adapt to seasonal variations, changing ...

What is the best AI SEO tool for 2026? It depends on goals. SE Ranking stands out for full-scale AI-driven SEO automation ...