Robotics & Machine Learning Daily News2024,Issue(Nov.28) :95-96.

Researchers from Chongqing University Discuss Findings in Machine Learning (Mach ine Learning-based Method for Gas Leakage Source Term Estimation In Highway Tunn els)

重庆大学研究人员讨论机器的发现基于机器学习的气体泄漏源学习方法公路隧道术语估计

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :95-96.

Researchers from Chongqing University Discuss Findings in Machine Learning (Mach ine Learning-based Method for Gas Leakage Source Term Estimation In Highway Tunn els)

重庆大学研究人员讨论机器的发现基于机器学习的气体泄漏源学习方法公路隧道术语估计

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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-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx编辑从重庆发回的《中国人民日报》报道称,“事件”在公路隧道内泄漏易燃易爆化学品,可能会导致火灾。火灾和爆炸等事件。公路隧道的特点,其特点是受限和拉长结构,加剧了管理此类事故的复杂性,可能导致重大伤亡和财产损失。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Chongqing, People’s Re public of China, by NewsRx editors, the research stated, “Incidentsinvolving th e leakage of flammable and explosive chemicals in highway tunnels can lead to di sastrousevents such as fires and explosions. The distinctive features of highwa y tunnels, characterized by theirconfined and elongated structure, intensify th e complexity of managing such accidents, potentially resultingin significant ca sualties and property damage.”

Key words

Chongqing/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Chongqing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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