New Findings from Wroclaw University of Science & Technology Updat e Understanding of Machine Learning (Comparative Analysis of Selected Machine Le arning Techniques for Predicting the Pull-off Strength of the Surface Layer of E co-friendly …)

弗罗茨瓦夫科技大学的新发现促进了对机器学习的理解（预测共友好材料表层抗拔强度的部分机器学习技术的比较分析…）

Robotics & Machine Learning Daily News2024，Issue(Nov.15) ：37-38.

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New Findings from Wroclaw University of Science & Technology Updat e Understanding of Machine Learning (Comparative Analysis of Selected Machine Le arning Techniques for Predicting the Pull-off Strength of the Surface Layer of E co-friendly …)

弗罗茨瓦夫科技大学的新发现促进了对机器学习的理解（预测共友好材料表层抗拔强度的部分机器学习技术的比较分析…）

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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-调查人员发布马学习的新报告。根据新闻报道来自波兰弗罗茨瓦夫的研究报告由NewsRx记者报道，“最近的趋势正在减少”碳足迹混凝土，设计了更新颖的材料。它主要是通过重新放置来完成的水泥，掺和料是工业过程中的废物。

Abstract

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 reportingoriginating from Wroclaw, Poland, by NewsRx correspondents, research stated, “With recent trends reducingthe carbon footprint of concrete, more novel materials are designed. It’s mostly done by r eplacingcement with admixtures that are wastes in industrial processes.”

Key words

Wroclaw/Poland/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/Wroclaw University of Science & Technology

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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