Robotics & Machine Learning Daily News2024,Issue(Nov.12) :40-41.

Studies from School of Management in the Area of Machine Learning Reported (Tran sportation Emissions Monitoring and Policy Research: Integrating Machine Learnin g and Satellite Imaging)

管理学院在机器学习领域的研究报告(运输排放监测和政策研究:机器学习与卫星成像的整合)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :40-41.

Studies from School of Management in the Area of Machine Learning Reported (Tran sportation Emissions Monitoring and Policy Research: Integrating Machine Learnin g and Satellite Imaging)

管理学院在机器学习领域的研究报告(运输排放监测和政策研究:机器学习与卫星成像的整合)

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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-关于机器学习的最新研究结果已经发表。据新闻报道By NewsRx记者从吉尔吉斯斯坦比什凯克报道,研究称,“确定和监测”随着全球社会努力实现温室气体排放,温室气体ga(GHG)的排放仍然复杂减少目标。公路运输业在准确计算和管理方面具有显著的监测全球排放,因为其对全球排放的重大贡献。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting from Bishkek, Kyrgyzstan, b y NewsRx journalists, research stated, “Determining and monitoringgreenhouse ga s (GHG) emissions remains complex as the global community endeavours to achieve emissionsreduction goals. The road transportation sector poses a notable challe nge in accurately calculating andmonitoring global emissions due to its signifi cant contribution to emissions worldwide.”

Key words

Bishkek/Kyrgyzstan/Asia/Cyborgs/Emer ging Technologies/Machine Learning/School of Management

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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