Power generation and energy storage systems rely on fluid transfer networks that must operate safely and efficiently across ...
1don MSN
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. SavaÅŸ TaÅŸoÄŸlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
Abstract: In order to address the issues of high random volatility, low reliability, and poor prediction accuracy in short-term urban traffic flow, a prediction model is developed by integrating ...
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