Robotics & Machine Learning Daily News2024,Issue(Jul.1) :91-92.

Researchers from Ecole de Technologie Superieure Provide Details of New Studies and Findings in the Area of Machine Learning (Automatic Flaw Detection In Sector al Scans Using Machine Learning)

Ecole de Technologie Superiure的研究人员提供了机器学习领域的新研究和发现的细节(使用机器学习的扇区铝扫描中的自动缺陷检测)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :91-92.

Researchers from Ecole de Technologie Superieure Provide Details of New Studies and Findings in the Area of Machine Learning (Automatic Flaw Detection In Sector al Scans Using Machine Learning)

Ecole de Technologie Superiure的研究人员提供了机器学习领域的新研究和发现的细节(使用机器学习的扇区铝扫描中的自动缺陷检测)

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摘要

由一名新闻记者兼机器人与机器学习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已经可用。根据Ne wsRx记者从加拿大蒙特利尔发回的新闻报道,研究表明:“相控阵超声检测(PAUT)需要训练有素的合格人员来解释和分析图像。要理解基因级图像,需要对波传播物理有扎实的了解。”这项研究的资助者包括Nucleom、Eddyfi。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Montreal, Canada, by Ne wsRx correspondents, research stated, “Phased array ultrasonic testing (PAUT) re quires highly trained and qualified personnel to interpret and analyze images. I t takes a solid understanding of wave propagation physics to comprehend the gene rated images.” Funders for this research include Nucleom, Eddyfi.

Key words

Montreal/Canada/North and Central Amer ica/Cyborgs/Emerging Technologies/Machine Learning/Ecole de Technologie Supe rieure

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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