High-power electronics demand much more from printed circuit boards than standard gadgets do. When your design needs to safely handle tens or even hundreds of a ...
1don MSN
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 ...
8don MSN
The shape of things to come: How spheroid geometry guides multicellular orbiting and invasion
As organisms develop from embryos, groups of cells migrate and reshape themselves to form all manner of complex tissues.
Discover how the Modified Dietz Method measures investment returns, factoring in cash flow timing and excluding skewing ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Abstract: To address the separation of mineral semantic segmentation and foreign object detection in coal mine conveyor belt detection, and the inability of traditional single-task models to balance ...
Abstract: A crucial method in hydrological monitoring is radar-based flow measurement, which uses Doppler spectra of water surface echoes to extract surface flow velocity accurately. Deep neural ...
The most common motor used for industrial, residential and commercial applications is the induction motor (three or single phase). This motor is very reliable, but faults still may occur. The present ...
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