首页|Study Data from University of Melbourne Provide New Insights into Machine Learni ng (Modelling the Compressive Strength of Geopolymer Recycled Aggregate Concrete Using Ensemble Machine Learning)
Study Data from University of Melbourne Provide New Insights into Machine Learni ng (Modelling the Compressive Strength of Geopolymer Recycled Aggregate Concrete Using Ensemble Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Melbou rne, Australia, by NewsRx journalists, research stated, “In the quest to reduce the environmental impact of the construction sector, the adoption of sustainable and ecofriendly materials is imperative. Geopolymer recycled aggregate concrete (GRAC) emerges as a promising solution by substituting supplementary cementitio us materials, including fly ash and slag cement, for ordinary Portland cement an d utilizing recycled aggregates from construction and demolition waste, thus sig nificantly lowering carbon emissions and resource consumption.”
MelbourneAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine LearningUniversity of Melbourne
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