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 ...)

库尔纳工程技术大学最近的发现为机器学习提供了新的见解(评估甘蔗渣对生产生态友好混凝土的影响:实验和机器学习...)

Robotics & Machine Learning Daily News2024，Issue(Jul.2) ：125-125.

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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 ...)

库尔纳工程技术大学最近的发现为机器学习提供了新的见解(评估甘蔗渣对生产生态友好混凝土的影响:实验和机器学习...)

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据来自孟加拉国库尔纳的新闻，NewsRx记者报道，研究表明：“甘蔗渣灰(SCBA)在生产轻质混凝土(LWC)中的创新利用需要用机器学习方法进行实验和量化，因此，本研究旨在研究SCBA作为部分水泥替代物的新鲜、力学和微观结构特征以及机器学习模型。”

Abstract

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.”

Key words

Khulna/Bangladesh/Asia/Cyborgs/Emerg ing Technologies/Machine Learning/Khulna University of Engineering and Technol ogy

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出版年

2024

Robotics & Machine Learning Daily News

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