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 ...

A final-year level face recognition-based attendance management system that tracks student entry and exit times, calculates duration, and automatically marks attendance status based on minimum ...

Abstract: Facial recognition technology plays a crucial role in various applications, from enhancing security at banks and organizations to streamlining attendance tracking in public gatherings and ...

Abstract: The Proximity-Driven Attendance Management System is a novel approach to attendance tracking that aligns with the United Nations’ Sustainable Development Goal 4 (Quality Education). The ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...