Robotics & Machine Learning Daily News2024,Issue(Jan.29) :69-70.

Reports on Machine Learning from Ulm University Provide New Insights (Multidimensional Characterization of Particle Morphology and Mineralogical Composition Using Ct Data and R-vine Copulas)

Robotics & Machine Learning Daily News2024,Issue(Jan.29) :69-70.

Reports on Machine Learning from Ulm University Provide New Insights (Multidimensional Characterization of Particle Morphology and Mineralogical Composition Using Ct Data and R-vine Copulas)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Ulm, Germany, by NewsRx editors, research stated, “Computed tomography (CT) can capture volumeslarge enough to measure a statistically meaningful number of micron-sized particles with a sufficientlygood resolution to allow for the analysis of individual particles. However, the development of methods toefficiently investigate such image data and interpretably model the observed particle features is still anactive field of research.”

Key words

Ulm/Germany/Europe/Cyborgs/Emerging Technologies/Machine Learning/Ulm University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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