Researchers from Curtin University Report Details of New Studies and Findings in the Area of Machine Learning (Large Scale Pavement Crack Evaluation Through a N ovel Spatial Machine Learning Approach Considering Geocomplexity)

来自科廷大学的研究人员报告了机器学习领域的新研究和发现的细节(通过考虑地质复杂性的N层空间机器学习方法进行大规模路面裂缝评估)

Robotics & Machine Learning Daily News2024，Issue(Nov.18) ：70-71.

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Researchers from Curtin University Report Details of New Studies and Findings in the Area of Machine Learning (Large Scale Pavement Crack Evaluation Through a N ovel Spatial Machine Learning Approach Considering Geocomplexity)

来自科廷大学的研究人员报告了机器学习领域的新研究和发现的细节(通过考虑地质复杂性的N层空间机器学习方法进行大规模路面裂缝评估)

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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-调查人员讨论机器学习的新发现。根据新闻报道来自澳大利亚珀斯的By NewsRx记者，研究称：“道路运输基础设施整个基础设施网络的关键组成部分。及时有效地维护道路要求对路面健康状况进行准确有效的评价，而裂缝是路面健康状况的一个重要方面。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Perth, Australia, b y NewsRx journalists, research stated, “Road transport infrastructure isa cruci al component of the entire infrastructural network. Timely and efficient mainten ance of roadsrequires accurate and effective evaluation of pavement health, of which cracking is an important aspect.”

Key words

Perth/Australia/Australia and New Zeal and/Cyborgs/Emerging Technologies/Machine Learning/Curtin University

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出版年

2024

Robotics & Machine Learning Daily News

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