Robotics & Machine Learning Daily News2024,Issue(Dec.6) :21-22.

Reports Outline Machine Learning Study Results from Wuhan Institute of Technolog y (Precise Prediction of Co2 Separation Performance of Metal-organic Framework M ixed Matrix Membranes Based On Feature Selection and Machine Learning)

武汉工业大学机器学习研究成果概要(基于特征选择和机器学习的金属-有机骨架混合基膜Co2分离性能的精确预测)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :21-22.

Reports Outline Machine Learning Study Results from Wuhan Institute of Technolog y (Precise Prediction of Co2 Separation Performance of Metal-organic Framework M ixed Matrix Membranes Based On Feature Selection and Machine Learning)

武汉工业大学机器学习研究成果概要(基于特征选择和机器学习的金属-有机骨架混合基膜Co2分离性能的精确预测)

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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-调查人员发布马学习新报告。根据新闻报道《新闻周刊》编辑在武汉发表的一篇文章中指出:“如今,化石燃料价格创下新纪录,加剧了人们对二氧化碳产生导致全球变暖的持续担忧。”燃料燃烧。金属有机物作为一种很有前途的碳捕集膜分离技术框架(MOF)混合基质膜(MMMs)已被广泛研究。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reporting outof Wuhan, People’s Republic of C hina, by NewsRx editors, research stated, “Nowadays, the price of fossil fuels k eeps setting new records, escalating continuing concerns about global warming fr om CO2 productionfrom fuel combustion. As a promising membrane separation techn ique dealing with carbon capture, metalorganicframework (MOF) mixed matrix mem branes (MMMs) have been extensively studied.”

Key words

Wuhan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Wuhan Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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