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: This work presents a novel approach for real-time transient stability prediction in power systems, combining synchrophasor data with model-driven dynamic state estimations. The proposed ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...
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 ...
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