Robotics & Machine Learning Daily News2024,Issue(Nov.19) :97-97.

Reports from Brno University of Technology Describe Recent Advances in Machine L earning (Non-destructive Testing of Cipp Defects Using a Machine Learning Approa ch)

Brno理工大学的报告描述了机器学习(使用机器学习方法对Cipp缺陷进行无损检测)的最新进展

Robotics & Machine Learning Daily News2024,Issue(Nov.19) :97-97.

Reports from Brno University of Technology Describe Recent Advances in Machine L earning (Non-destructive Testing of Cipp Defects Using a Machine Learning Approa ch)

Brno理工大学的报告描述了机器学习(使用机器学习方法对Cipp缺陷进行无损检测)的最新进展

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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-机器学习的最新研究结果已经发表。据新闻报道来自捷克共和国布尔诺的报道,由NewsRx记者报道,研究称,“以民事方式”涉及建筑物内部和车辆外地点管道修理的工程、重新安装行动呈现复杂且具有挑战性的任务。传统的修理方法通常包括分解周围的结构,导致技术逻辑暂停和潜在的工作环境中断。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Brno, Czec h Republic, by NewsRx correspondents, research stated, “In civilengineering, re trofitting actions involving repairs to pipes inside buildings and in extravehic ular locationspresent complex and challenging tasks. Traditional repair procedu res typically involve disassembling thesurrounding structure, leading to techno logical pauses and potential work environment disruptions.”

Key words

Brno/Czech Republic/Europe/Cyborgs/E merging Technologies/Machine Learning/Brno University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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