Robotics & Machine Learning Daily News2024,Issue(Nov.8) :51-52.

Investigators at Imperial College London Discuss Findings in Machine Learning (G eneration of Pore-space Images Using Improved Pyramid Wasserstein)

伦敦帝国理工学院的调查人员讨论机器的发现基于改进的孔隙空间图像学习(生成棱锥瓦瑟斯坦

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :51-52.

Investigators at Imperial College London Discuss Findings in Machine Learning (G eneration of Pore-space Images Using Improved Pyramid Wasserstein)

伦敦帝国理工学院的调查人员讨论机器的发现基于改进的孔隙空间图像学习(生成棱锥瓦瑟斯坦

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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。据新闻报道发源于联合王国伦敦d OM,由NewsRx记者报道,研究称,“高分辨率”三维x射线显微镜可以用来对材料的孔隙进行成像。机器LEArning算法可以生成任意尺寸岩石代表性图像的统计集合表征、建模和分析》。

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 newsoriginating from London, United Kingd om, by NewsRx correspondents, research stated, “High-resolutionthree-dimensiona l X-ray microscopy can be used to image the pore space of materials. Machine learning algorithms can generate a statistical ensemble of representative images of arbitrary sizes for rockcharacterization, modeling, and analysis.”

Key words

London/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/Imperial College London

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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