Findings on Machine Learning Reported by Investigators at School of Electronic S cience [Resistive Sensor Array for Selective Zn(Ii) Ion Detec tion From a Mixed Solution Using Machine Learning Techniques]

电子科学学院研究人员报告的机器学习发现[使用机器学习技术从混合溶液中选择性吸收zn(ii)离子的电阻传感器阵列]

Robotics & Machine Learning Daily News2024，Issue(Jun.28) ：9-10.

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Findings on Machine Learning Reported by Investigators at School of Electronic S cience [Resistive Sensor Array for Selective Zn(Ii) Ion Detec tion From a Mixed Solution Using Machine Learning Techniques]

电子科学学院研究人员报告的机器学习发现[使用机器学习技术从混合溶液中选择性吸收zn(ii)离子的电阻传感器阵列]

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据NewsRx Cor受访者来自印度奥迪沙的新闻，研究表明：“推进工业化已导致消耗性水的指数降解，因此直接需要一个高效的监测系统。在这项研究中，我们展示了分层的、纳米结构的Ni2O3-和Cu0.05Ni1.95O3-based电阻双传感器阵列，用于选择性检测溶液中的zn(ii)离子。”这项研究的财政支持来自科学和工程研究B OARD(SERB)，通过印度政府。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news originating from Odisha, India, by NewsRx cor respondents, research stated, “Advancing industrialization has led to an exponen tial degradation of consumable water, and hence, there is a direct need for an e fficient monitoring system. In this study, we demonstrated hierarchical, nanostr uctured Ni2O3- and Cu0.05Ni1.95O3-based resistive bisensor arrays for selective detection of Zn(II) ions in solution.” Financial support for this research came from Science and Engineering Research B oard (SERB) through the Government of India.

Key words

Odisha/India/Asia/Cyborgs/Emerging T echnologies/Machine Learning/School of Electronic Science

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出版年

2024

Robotics & Machine Learning Daily News

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