The demand for energy is ever-increasing across various industries. In recent decades, scientists have explored the ...
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: 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 ...
Abstract: Accurate fault detection and localization are critical for ensuring the stability and reliability of modern power systems. This research presents a novel approach integrating Generative ...