首页|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)
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)
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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.”
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