首页|New Data from Royal Melbourne Institute of Technology - RMIT University Illumina te Findings in Machine Learning (Machine Learning Approaches To Predict Compress ive Strength of Fly Ash-based Geopolymer Concrete: a Comprehensive Review)
New Data from Royal Melbourne Institute of Technology - RMIT University Illumina te Findings in Machine Learning (Machine Learning Approaches To Predict Compress ive Strength of Fly Ash-based Geopolymer Concrete: a Comprehensive Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Melbourne, Australia, by Ne wsRx correspondents, research stated, “Geopolymer concrete is asustainable repl acement to the Ordinary Portland Cement (OPC) concrete as it mitigates some of t heassociated problems of OPC manufacturing such as greenhouse gas emission and natural resource depletion.There has been significant recent research in the de sign of fly ash -based geopolymer concrete usingadvanced machine learning techn iques which can address some of the problems with classical mix designapproache s.”
MelbourneAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine LearningRoyal Melbourne Insti tute of Technology - RMIT University
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