Robotics & Machine Learning Daily News2024,Issue(Nov.12) :16-16.

Reports Summarize Machine Learning Study Results from University of Quebec in Ch icoutimi (Machine Learning to Predict Workability and Compressive Strength of Lo w- and High-Calcium Fly Ash-Based Geopolymers)

报告总结了魁北克大学奇库蒂米分校的机器学习研究结果(机器学习预测低钙和高钙粉煤灰基地质聚合物的工作性和抗压强度)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :16-16.

Reports Summarize Machine Learning Study Results from University of Quebec in Ch icoutimi (Machine Learning to Predict Workability and Compressive Strength of Lo w- and High-Calcium Fly Ash-Based Geopolymers)

报告总结了魁北克大学奇库蒂米分校的机器学习研究结果(机器学习预测低钙和高钙粉煤灰基地质聚合物的工作性和抗压强度)

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据新闻报道由NewsRx编辑在奇库提米的Queb ec大学发表的一项研究表明:“潜在的替代采用低钙和高钙粉煤灰基geop聚合物配制硅酸盐水泥混凝土调查。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ar tificial intelligence. According to news reportingout of the University of Queb ec in Chicoutimi by NewsRx editors, research stated, “The potential substitutionof Portland cement-based concrete with low- and high-calcium fly ash-based geop olymers wasinvestigated.”

Key words

University of Quebec in Chicoutimi/Cybo rgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文