Reports Outline Machine Learning Research from CSIR - Central Mechanical Enginee ring Research Institute [Smartphone enabled machine learning approach assisted copper (Ⅱ) quantification and opto-electrochemical explosive recognition by …]

报告概述了CSIR-中央机械工程环研究所的机器学习研究[智能手机支持的机器学习方法辅助铜(Ⅱ)量化和光电化学爆炸物识别…]

Robotics & Machine Learning Daily News2024，Issue(Dec.2) ：7-7.

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Reports Outline Machine Learning Research from CSIR - Central Mechanical Enginee ring Research Institute [Smartphone enabled machine learning approach assisted copper (Ⅱ) quantification and opto-electrochemical explosive recognition by …]

报告概述了CSIR-中央机械工程环研究所的机器学习研究[智能手机支持的机器学习方法辅助铜(Ⅱ)量化和光电化学爆炸物识别…]

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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-关于人工智能的新研究成果已经发表。据新闻报道由NewsRx通讯员从印度杜尔加普尔发出，研究称，“一种基于阿尔达津的光电化学装置”L传感器，BMH（1-(quinolin-4-ylmethylene)hydrazono)methyl)naphthalen-2-ol）有一个本文引入用于选择性检测含水铜(Cu2+)和2,4,6-Trinitrophenol(TNP)超低水平检测限（Cu2+为0.09 ppm，TNP为0.019 ppm）。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to newsoriginating from Durgapur, India, by NewsRx correspondents, research stated, “An Aldazine-based optoelectrochemical sensor, BMH (1-(quinolin-4-ylmethylene)hydrazono)methyl)naphthalen-2-ol) has b eenintroduced herein for selective detection of aqueous copper (Cu2+) and 2, 4, 6-Trinitrophenol (TNP) atan ultra-low level detection limit (0.09 ppm for Cu2+ and 0.019 ppm for TNP).”

Key words

CSIR - Central Mechanical Engineering Re search Institute/Durgapur/India/Asia/Chemicals/Cyborgs/Electrochemicals/E merging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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