Reports from University of Technology Sydney Add New Data to Findings in Machine Learning (An Advanced Machine Learning Technique To Predict Compressive Strengt h of Green Concrete Incorporating Waste Foundry Sand)

Robotics & Machine Learning Daily News2024，Issue(Apr.9) ：93-93.

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Reports from University of Technology Sydney Add New Data to Findings in Machine Learning (An Advanced Machine Learning Technique To Predict Compressive Strengt h of Green Concrete Incorporating Waste Foundry Sand)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Sydney, Austra lia, by NewsRx editors, research stated, “Waste foundry sand (WFS)is the waste product that cause environmental hazards. WFS can be used as a partial replaceme nt ofcement or fine aggregates in concrete.”

Key words

Sydney/Australia/Australia and New Zea land/Cyborgs/Emerging Technologies/Machine Learning/University of Technology Sydney

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出版年

2024

Robotics & Machine Learning Daily News

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