Studies from University of Tehran Add New Findings in the Area of Machine Learni ng (Multiphase Reconstruction of Heterogamous Materials Using Machine Learning a nd Quality of Connection Function)

德黑兰大学的研究增加了机器学习领域的新发现(利用机器学习和连接质量函数对异基因材料进行多阶段重构)

Robotics & Machine Learning Daily News2024，Issue(Jul.4) ：4-4.

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Studies from University of Tehran Add New Findings in the Area of Machine Learni ng (Multiphase Reconstruction of Heterogamous Materials Using Machine Learning a nd Quality of Connection Function)

德黑兰大学的研究增加了机器学习领域的新发现(利用机器学习和连接质量函数对异基因材料进行多阶段重构)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于人工智能的新报告。根据NewsRx记者在伊朗德黑兰的新闻报道，研究表明，"在材料的三维显微结构重建中建立准确的结构-性能联系和精确的相体积精度仍然具有挑战性，特别是在样本有限的情况下。"

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from Tehran, Iran, by NewsRx journalists, research stated, “Establishing accurate structure-property linkages and precise phase volume accuracy in 3D microstructure reconstruction of materi als remains challenging, particularly with limited samples.”

Key words

University of Tehran/Tehran/Iran/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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