Multi-agent AI and robots automate materials discovery in closed-loop lab system

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

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 ...
IEEE

Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models

Abstract: The rise of renewable energy integration in smart grids brings new cybersecurity challenges, prompting this study to examine vulnerabilities in Smart Cyber-Physical Power Systems (CPPS). The ...
IEEE

Trustworthy Data-Driven Prefault Frequency Security Assessment for Power Systems Using Disturbance-Informed Learning

Abstract: Frequency security assessment (FSA) is critical for the safe operation of modern power systems, particularly under increasing uncertainty and renewable integration. In online prefault ...