By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Abstract: Traffic flow imputation aims to estimate missing flow values within a traffic network. While machine learning methods have been widely applied to this challenge and outperformed conventional ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Coalescence filtration in fibrous filters underpins critical processes in various ...
Dwayne Johnson’s new MMA biopic recently tapped out at the box office after earning barely half of its reported budget, but the film has found a different kind of success. The Smashing Machine debuted ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Faculty of Materials Science and Engineering, Kunming University of Science and Technology, Kunming, China Introduction: Accurate prediction of flow stress during the hot deformation of 7075 aluminum ...
Microsoft stands out as a defensive AI leader, combining robust growth potential with sustained profitability and downside protection for investors. MSFT exceeded expectations in Q4 FY2025, with ...
Self-mixing interferometry (SMI) is an emerging optical sensing technique for detecting and classifying microparticles in non-contact and label-free flowmetry applications. High precision and ...
Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...
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