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: Anomaly detection plays a crucial role in real-world applications by identifying instances that deviate significantly from the norm. In the context of road anomalies, deep learning models ...

Abstract: Cyberbullying involves repeated online harassment that can lead to serious effects, such as mental health struggles, academic decline, and, in extreme cases, suicidal thoughts. Deep learning ...