Investigators at Setor University Report Findings in Machine Learning (Machine L earning To Predict the Compressive Strength of Mortars With and Without Construc tion Waste)

Robotics & Machine Learning Daily News2024，Issue(Nov.6) ：35-35.

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Investigators at Setor University Report Findings in Machine Learning (Machine L earning To Predict the Compressive Strength of Mortars With and Without Construc tion Waste)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published.According to news reporting from Catalao, Brazil, by Ne wsRx journalists, research stated, “The present work aimed to evaluate the perfo rmance of machine learning algorithms in predicting the compressive strength of mortars.The database was created through a bibliographic search of more than 50 references that were cataloged to contain data on mortar dosages with or withou t the addition of construction waste.”

Key words

Catalao/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning/Setor University

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出版年

2024

Robotics & Machine Learning Daily News

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