Robotics & Machine Learning Daily News2024,Issue(Dec.3) :3-4.

CSIR - National Physical Laboratory Reports Findings in Machine Learning (Integr ation of cost-effective datasets to improve predictability of strategic noise ma pping in transport corridors in Delhi city, India)

CSIR-国家物理实验室报告机器学习的结果(印度德里市交通走廊战略噪声监测的成本效益数据集的建立)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :3-4.

CSIR - National Physical Laboratory Reports Findings in Machine Learning (Integr ation of cost-effective datasets to improve predictability of strategic noise ma pping in transport corridors in Delhi city, India)

CSIR-国家物理实验室报告机器学习的结果(印度德里市交通走廊战略噪声监测的成本效益数据集的建立)

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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。根据新闻报道在印度新德里,由Newsrx编辑撰写的研究报告称,“评估环境暴露量”在没有标准化noi预测的情况下,运输走廊的噪音水平仍然复杂型号可用。在nois e控制的规划和政策实施中,噪声制图是一个重要的环节步骤。

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 news reportingout of New Delhi, India, by N ewsRx editors, research stated, “Assessing exposure to environmentalnoise level s at transport corridors remains complex in conditions where no standardized noi se predictionmodel is available. In planning and policy implementation for nois e control, noise mapping is an importantstep.”

Key words

New Delhi/India/Asia/Cyborgs/Emergin g 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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