Robotics & Machine Learning Daily News2024,Issue(Dec.5) :131-132.

Data on Machine Learning Described by a Researcher at Novosibirsk State Universi ty (Temperature-Based Long-Term Stabilization of Photoacoustic Gas Sensors Using Machine Learning)

新西伯利亚州立大学的一位研究人员描述的机器学习数据(使用机器学习的光声气体传感器基于温度的长期稳定)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :131-132.

Data on Machine Learning Described by a Researcher at Novosibirsk State Universi ty (Temperature-Based Long-Term Stabilization of Photoacoustic Gas Sensors Using Machine Learning)

新西伯利亚州立大学的一位研究人员描述的机器学习数据(使用机器学习的光声气体传感器基于温度的长期稳定)

扫码查看

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-调查人员发布关于人工智能的新报告。根据新闻报道来自俄罗斯新西伯利亚的NewsRx记者的研究表明,“在这项研究中,我们解决了以下挑战:光声探测器(PAD)气室变温谐振频率的估算条件,这对于提高气体浓度测量的准确性至关重要。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom Novosibirsk, Russia, by NewsRx journalists, research stated, “In this study, we address the challenge ofestimating the resonance frequency of a photoacoustic detector (PAD) gas cell u nder varying temperatureconditions, which is crucial for improving the accuracy of gas concentration measurements.”

Key words

Novosibirsk State University/Novosibirs k/Russia/Eurasia/Cyborgs/Emerging Technologies/Machine Learning

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