Robotics & Machine Learning Daily News2024,Issue(Aug.5) :38-39.

Studies from Federal University of Uberlandia Add New Findings in the Area of Ma chine Learning (Five Machine Learning Models Predicting the Global Shear Capacit y of Composite Cellular Beams with Hollow-Core Units)

Robotics & Machine Learning Daily News2024,Issue(Aug.5) :38-39.

Studies from Federal University of Uberlandia Add New Findings in the Area of Ma chine Learning (Five Machine Learning Models Predicting the Global Shear Capacit y of Composite Cellular Beams with Hollow-Core Units)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingfrom Uberlandia, Brazil, by NewsRx journalists, research stated, “The global shear capacity of steel-concrete composite downstand cellular beams with precast hollow-core units is an impor tant calculation as itaffects the span-to-depth ratios and the amount of materi al used, hence affecting the embodied CO2calculation when designers are produci ng floor grids.”

Key words

Federal University of Uberlandia/Uberla ndia/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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