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 ...

In an Era of “Do More With Less,” Jennifer Y. Afriyie’s R.E.S.T. Framework™ Offers a Groundbreaking Blueprint for Sustainable Success Everyone is trying to outrun the machines, but that’s a losing ...

The emerging field of digital phenotyping leverages the numerous sensors embedded in a smartphone to better understand its user's current psychological state and behavior, enabling improved health ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

Abstract: Effective earthquake early warning (EEW) relies on accurate and rapid signal detection. This letter presents PWaveSense- a real-time earthquake detection framework using distributed acoustic ...