Robotics & Machine Learning Daily News2024,Issue(Nov.28) :127-128.

New Machine Learning Findings Reported from University of Birmingham (Cause-agno stic Bridge Damage State Identification Utilising Machine Learning)

伯明翰大学最新机器学习发现(原因-Agno STIC桥梁损坏状态识别机器学习

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :127-128.

New Machine Learning Findings Reported from University of Birmingham (Cause-agno stic Bridge Damage State Identification Utilising Machine Learning)

伯明翰大学最新机器学习发现(原因-Agno STIC桥梁损坏状态识别机器学习

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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-一项关于机器学习的新研究现在可用。根据新闻报道英国伯明翰》,Ne wsRx编辑,研究称,“现有的桥梁库存,两者都在欧盟和GL Obally包含了几座即将到达设计寿命终点的桥梁,其中许多是有恶化的迹象。虽然该过程涉及不同的劣化机制,主要的一个被认为是肌腱的腐蚀。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting outof Birmingham, United Kingdom, by Ne wsRx editors, research stated, “The existing bridge stock, both inthe EU and gl obally, contains several bridges that are reaching the end of their design-life, many of themshowing signs of deterioration. Although different deterioration m echanisms are involved in this process,the dominant one is deemed to be the cor rosion of tendons.”

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

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