A new study highlights the critical role of advanced AI-integrated battery management system technologies in monitoring, optimizing, and predicting battery performance for reliable and sustainable ...
If the industry wants to keep up with the exploding demand for AI, the only way forward is to reconsider how we architect ...
1d
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
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: Frequency security assessment (FSA) is critical for the safe operation of modern power systems, particularly under increasing uncertainty and renewable integration. In online prefault ...
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