New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
20h
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 ...
Abstract: Blindly estimating the direction of arrival (DoA) of early room reflections without prior knowledge of the room impulse response or source signal is highly valuable in audio signal ...
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 increasing number of unmanned aerial vehicles (UAVs) elevates the risk of failures that may lead to infrastructure damage and pose safety hazards to humans. One critical failure mode in ...
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