Robotics & Machine Learning Daily News2024,Issue(Jun.18) :78-79.

Study Findings from University of Coimbra Provide New Insights into Machine Lear ning (A Machine-learning Based Approach To Estimate Acoustic Macroscopic Paramet ers of Porous Concrete)

科英布拉大学的研究结果为机器学习(一种基于机器学习的多孔混凝土声学宏观参数估计方法)提供了新的见解

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :78-79.

Study Findings from University of Coimbra Provide New Insights into Machine Lear ning (A Machine-learning Based Approach To Estimate Acoustic Macroscopic Paramet ers of Porous Concrete)

科英布拉大学的研究结果为机器学习(一种基于机器学习的多孔混凝土声学宏观参数估计方法)提供了新的见解

扫码查看

摘要

由新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-详细的机器学习数据已经呈现。根据NewsRx编辑在葡萄牙科英布拉的新闻报道,研究表明,“具有膨胀粘土固有孔隙度的多孔混凝土使其成为一种有趣而有效的声学材料,由于其卡帕市通过吸收和阻尼声波来减轻噪音污染,因此它被应用于许多SC Enarios,如公路、机场和建筑结构。”这项研究的财政支持者包括:技术和科学基金会(FCT),通过国家基金(PIDDAC)在副实验室和先进生产和智能系统出现下提供的FCT/MCTES,技术和科学基金会(FCT)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting out of Coimbra, Portugal, by NewsRx editors, research stated, "Porous concrete with expanded clay inherent porosity makes it an interesting and effective acoustic material, applied in numerous sc enarios such as highways, airports and architectural structures, due to its capa city to mitigate noise pollution, by absorbing and damping sound waves." Financial supporters for this research include Fundacao para a Ciencia e a Tecno logia (FCT), FCT/MCTES through national funds (PIDDAC) under Associate Laborator y Advanced Production and Intelligent Systems ARISE, Fundacao para a Ciencia e a Tecnologia (FCT).

Key words

Coimbra/Portugal/Europe/Cyborgs/Emer ging Technologies/Machine Learning/University of Coimbra

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