Robotics & Machine Learning Daily News2024,Issue(Feb.15) :36-37.DOI:10.3390/mi15020210

New Machine Learning Study Findings Recently Were Published by a Researcher at University of Adelaide (Mechanics of Small-Scale Spherical Inclusions Using Nonlocal Poroelasticity Integrated with Light Gradient Boosting Machine)

Robotics & Machine Learning Daily News2024,Issue(Feb.15) :36-37.DOI:10.3390/mi15020210

New Machine Learning Study Findings Recently Were Published by a Researcher at University of Adelaide (Mechanics of Small-Scale Spherical Inclusions Using Nonlocal Poroelasticity Integrated with Light Gradient Boosting Machine)

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Abstract

Investigators discuss new findings in artificial intelligence. According to news reporting originating from the University of Adelaide by NewsRx correspondents, research stated, “Detecting inclusions in materials at small scales is of high importance to ensure the quality, structural integrity and performance efficiency of microelectromechanical machines and products. Ultrasound waves are commonly used as a non-destructive method to find inclusions or structural flaws in a material.”

Key words

University of Adelaide/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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