Robotics & Machine Learning Daily News2024,Issue(Jun.25) :47-48.

Study Findings on Machine Learning Are Outlined in Reports from University of Me lbourne (Smart mid-infrared metasurface microspectrometer gas sensing system)

Me Lbourne大学的报告概述了机器学习的研究结果(智能中红外metasurface microspectrous gas sensing system)

Robotics & Machine Learning Daily News2024,Issue(Jun.25) :47-48.

Study Findings on Machine Learning Are Outlined in Reports from University of Me lbourne (Smart mid-infrared metasurface microspectrometer gas sensing system)

Me Lbourne大学的报告概述了机器学习的研究结果(智能中红外metasurface microspectrous gas sensing system)

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摘要

一位新闻记者-机器人与机器学习的新闻编辑-每日新闻-关于人工智能的研究结果在一份新的报告中讨论。根据NewsRx记者从墨尔本大学传来的消息,研究表明:“由于空气质量监测在环境和国防相关应用中的重要性,人们对智能、低成本和便携式气体传感器的需求非常高。传统上,电化学和非分散红外(IR)气体传感器被设计用来检测单一的特定分析物。”这项研究的资助者包括国防科学研究所;教育和培训部|澳大利亚研究委员会。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news originating from the Uni versity of Melbourne by NewsRx correspondents, research stated, "Smart, low-cost and portable gas sensors are highly desired due to the importance of air qualit y monitoring for environmental and defense-related applications. Traditionally, electrochemical and nondispersive infrared (IR) gas sensors are designed to dete ct a single specific analyte." Funders for this research include Defence Science Institute; Department of Educa tion And Training | Australian Research Council.

Key words

University of Melbourne/Cyborgs/Emergi ng Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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