Abstract: The research proposes a new forensic face sketching and recognition system built on deep learning techniques to improve criminal identification capabilities. The method uses a mix of ...

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 ...

Abstract: Personal identification using gait sound has emerged as an intriguing and promising alternative to traditional authentication methods such as facial recognition and fingerprint scanning.

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 ...