首页|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)

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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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.”

SydneyAustraliaAustralia and New Zea landCyborgsEmerging TechnologiesMachine LearningUniversity of Technology Sydney

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.9)