首页|Reports from Khulna University of Engineering and Technology Describe Recent Adv ances in Machine Learning (Analysis of Waste Glass As a Partial Substitute for C oarse Aggregate In Selfcompacting Concrete: an Experimental and Machine Learnin g ...)
Reports from Khulna University of Engineering and Technology Describe Recent Adv ances in Machine Learning (Analysis of Waste Glass As a Partial Substitute for C oarse Aggregate In Selfcompacting Concrete: an Experimental and Machine Learnin g ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Khulna, Bangladesh, by NewsRx editors, research stated, “With the growing environmental burdento minimize de bris and recycle, the concrete industry has replaced wasted glass with concrete compositionelements in multiple ways. This study provides a comprehensive analy sis of integrating waste glassaggregate (WGA) at various proportions (0 % , 5 %, 10 %, 15 %, and 20 %) as substitutes for coarseaggregates along with a consistent 20 % silica fume (SF) as cement replacement in self-compacting concrete(SCC).”
KhulnaBangladeshAsiaCyborgsEmerg ing TechnologiesMachine LearningKhulna University of Engineering and Technol ogy
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