Robotics & Machine Learning Daily News2024,Issue(Jun.13) :63-64.

Investigators at Sam Houston State University Report Findings in Artificial Inte lligence (Assessment of Artificial Intelligence To Detect Gasoline In Fire Debri s Using Hs-spme-gc/ms and Transfer Learning)

萨姆休斯顿州立大学的研究人员报告了人工智能的发现(使用HS-SPME-GC/MS和转移学习对人工智能检测火灾中汽油的评估)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :63-64.

Investigators at Sam Houston State University Report Findings in Artificial Inte lligence (Assessment of Artificial Intelligence To Detect Gasoline In Fire Debri s Using Hs-spme-gc/ms and Transfer Learning)

萨姆休斯顿州立大学的研究人员报告了人工智能的发现(使用HS-SPME-GC/MS和转移学习对人工智能检测火灾中汽油的评估)

扫码查看

摘要

由一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于人工智能的最新研究结果已经发表。根据NewsRx记者在德克萨斯州亨茨维尔的新闻报道,研究表明,“由于可燃液体(IL)的化学成分的复杂性和火灾碎片基质的干扰,解释色谱数据给分析人员带来了挑战。在这项工作中,人工智能(AI)是通过在卷积神经网络(CNN)中传输Le Arning开发的。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial In telligence have been published. According to news reporting originating in Hunts ville, Texas, by NewsRx journalists, research stated, “Due to the complex nature of the chemical compositions of ignitable liquids (IL) and the interferences fr om fire debris matrices, interpreting chromatographic data poses challenges to a nalysts. In this work, artificial intelligence (AI) was developed by transfer le arning in a convolutional neural network (CNN), GoogLeNet.”

Key words

Huntsville/Texas/United States/North and Central America/Artificial Intelligence/Emerging Technologies/Machine Lea rning/Sam Houston State University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文