首页|Recent Findings from Khulna University of Engineering and Technology Provides Ne w Insights into Machine Learning (Assessing the Influence of Sugarcane Bagasse A sh for the Production of Ecofriendly Concrete: Experimental and Machine Learnin g ...)
Recent Findings from Khulna University of Engineering and Technology Provides Ne w Insights into Machine Learning (Assessing the Influence of Sugarcane Bagasse A sh for the Production of Ecofriendly Concrete: Experimental and Machine Learnin g ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Khulna, Bangladesh, by NewsRx correspondents, research stated, “The innovative utilization of sugarc ane bagasse ash (SCBA) in producing lightweight concrete (LWC) needs to be explo red experimentally and quantification with machine learning approaches. Therefor e, this study aims to investigate fresh, mechanical and microstructural characte ristics and machine learning modeling of incorporating SCBA as a partial substit ute of cement.”
KhulnaBangladeshAsiaCyborgsEmerg ing TechnologiesMachine LearningKhulna University of Engineering and Technol ogy
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