Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...

From predictive road safety and telematics to automated communications and compliance, the industry is shifting towards ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

The irreversible process of civilization has continuously tried to address the oldest issues of humanity. Car accidents are ...

Abstract: Traffic congestion occurs when the volume of vehicles on a roadway exceeds its capacity, leading to slower travel speeds, delays, higher fuel consumption, and increased emissions. Beyond ...

Gov. Tina Kotek has called for the $4.3 billion transportation package she championed to be repealed after a referendum effort qualified for the ballot, saying the state needs to pursue other avenues ...

Abstract: This paper proposes an intelligent traffic management system that uses real-time video analysis with YOLOv8 (for emergency vehicle detection) and YOLOv5 (for general vehicle tracking) to ...