首页|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)
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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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.”
Federal University of UberlandiaUberla ndiaBrazilSouth AmericaCyborgsEmerging TechnologiesMachine Learning
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