Robotics & Machine Learning Daily News2024,Issue(Jul.3) :3-3.

Findings from University of Birmingham Update Knowledge of Machine Learning (A M achine Learning Based Approach To Predict Road Rutting Considering Uncertainty)

伯明翰大学的发现更新了机器学习知识(一种基于机器学习的考虑不确定性的车辙预测方法)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :3-3.

Findings from University of Birmingham Update Knowledge of Machine Learning (A M achine Learning Based Approach To Predict Road Rutting Considering Uncertainty)

伯明翰大学的发现更新了机器学习知识(一种基于机器学习的考虑不确定性的车辙预测方法)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据NewsRx记者在英国伯明翰的新闻报道,研究表明,“道路作为重要的公共资产是交通系统的支柱,并支持持续的社会发展。目前,数据驱动技术,如数字双胞胎,特别是机器L收益已经显示出通过准确的未来条件建模和最佳的维护处理建议,保持现有道路基础设施的服务水平的巨大潜力。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating in Birmingham, United Kingdom , by NewsRx journalists, research stated, “Roads as vital public assets are the backbone for transportation systems and support constant societal development. R ecently, data-driven technologies such as digital twins and especially machine l earning have shown great potential to maintain the service level of the existing road infrastructure by accurate future condition modelling and optimal maintena nce treatment recommendations.”

Key words

Birmingham/United Kingdom/Europe/Cybo rgs/Emerging Technologies/Machine Learning/University of Birmingham

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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