Robotics & Machine Learning Daily News2024,Issue(Jul.4) :104-104.

Russian Academy of Sciences Reports Findings in Machine Learning (Validation of the identification reliability of known and assumed UDMH transformation products using gas chromatographic retention indices and machine learning)

俄罗斯科学院报告了机器学习的发现(使用气相色谱保留指数和机器学习验证已知和假设的偏二甲肼转化产物的识别可靠性)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :104-104.

Russian Academy of Sciences Reports Findings in Machine Learning (Validation of the identification reliability of known and assumed UDMH transformation products using gas chromatographic retention indices and machine learning)

俄罗斯科学院报告了机器学习的发现(使用气相色谱保留指数和机器学习验证已知和假设的偏二甲肼转化产物的识别可靠性)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据俄罗斯莫斯科的新闻报道,新的sRx编辑称,“使用32种市售标准测定气相色谱中常用的三种不同固定相(非极性、极性和中极性)的色谱保留指数。所选化合物为含氮杂环和酰胺,在文献中称为不对称二甲肼(UDMH)转化产物或其假定转化产物。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Moscow, Russia, by New sRx editors, research stated, “Thirty two commercially available standards were used to determine chromatographic retention indices for three different stationa ry phases (non-polar, polar and mid-polar) commonly used in gas chromatography. The selected compounds were nitrogen-containing heterocycles and amides, which a re referred to in the literature as unsymmetrical dimethylhydrazine (UDMH) trans formation products or its assumed transformation products.”

Key words

Moscow/Russia/EurAsia/Cyborgs/Emergi ng Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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