Research Data from Northwestern Polytechnic University Update Understanding of M achine Learning (Machine Learning Assisted Microtextured Regions Segmentation In a Near-a Titanium Alloy)

西北理工大学的研究数据更新了对机器学习的理解(机器学习辅助的近a钛合金显微组织区域分割)

Robotics & Machine Learning Daily News2024，Issue(Jun.10) ：83-84.

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Research Data from Northwestern Polytechnic University Update Understanding of M achine Learning (Machine Learning Assisted Microtextured Regions Segmentation In a Near-a Titanium Alloy)

西北理工大学的研究数据更新了对机器学习的理解(机器学习辅助的近a钛合金显微组织区域分割)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-研究人员详细介绍了机器学习的新数据。根据NewsRx记者源于中国西安的新闻报道，研究表明，"开发自动化、可靠和先进的分割方法，以识别复杂钛显微组织中的显微织构区域(MTRs)，因为它们对居民疲劳性能有很大的影响，因此势在必行"。

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 Xi’an, People’s Republic o f China, by NewsRx journalists, research stated, “Developing automated, reliable , and advanced segmentation methodologies for identifying microtextured regions (MTRs) in complex titanium microstructures is imperative due to their substantia l influence on dwellfatigue performance.”

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Light Metals/Machine Learning/Titanium/North western Polytechnic University

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出版年

2024

Robotics & Machine Learning Daily News

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