Robotics & Machine Learning Daily News2024,Issue(Nov.29) :35-35.

People’s Public Security University of China Reports Findings in Machine Learnin g (Geographical classification of population: Analysis of amino acid in fingerma rk residues using UHPLC-QQQ-MS/MS combined with machine learning)

中国人民公安大学报告机器学习研究结果(人口地理分类:uhplc—qqq-ms/ms结合机器学习分析手指残留氨基酸)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :35-35.

People’s Public Security University of China Reports Findings in Machine Learnin g (Geographical classification of population: Analysis of amino acid in fingerma rk residues using UHPLC-QQQ-MS/MS combined with machine learning)

中国人民公安大学报告机器学习研究结果(人口地理分类:uhplc—qqq-ms/ms结合机器学习分析手指残留氨基酸)

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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新闻-机器学习的新研究是一份报告的主题。根据来自中华人民共和国北京,NewsRx记者,研究称,“以确定生活在哪里?”基于指纹残基氨基酸的指纹识别方法的建立基于机器学习的区域分类方法。共收集了来自六个不同地区的71名指纹捐献者选择了中国各地区的省份。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting fromBeijing, People’s Republic of China , by NewsRx journalists, research stated, “To determine the livingregions of in dividuals based on amino acids in fingermark residues and to establish a rapid a nd accurateregional classification method using machine learning. A total of 71 fingermark donors from six differentprovinces in various regions of China were selected.”

Key words

Beijing/People’s Republic of China/Asi a/Algorithms/Amino Acids/Cyborgs/Emerging Technologies/Machine Learning/Pe ptides/Proteins

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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