Robotics & Machine Learning Daily News2024,Issue(Jun.21) :66-66.

Studies from Zhejiang University in the Area of Machine Learning Reported (Ident ifying Drivers of County-level Industrial Carbon Intensity By a Generic Machine Learning Framework)

浙江大学在机器学习领域的研究报告(用通用机器学习框架识别县级工业碳强度驱动因素)

Robotics & Machine Learning Daily News2024,Issue(Jun.21) :66-66.

Studies from Zhejiang University in the Area of Machine Learning Reported (Ident ifying Drivers of County-level Industrial Carbon Intensity By a Generic Machine Learning Framework)

浙江大学在机器学习领域的研究报告(用通用机器学习框架识别县级工业碳强度驱动因素)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者来自中国杭州的新闻报道,研究表明:“碳强度被认为是衡量碳排放与经济发展之间相对变化的指标,在多个层面的众多政策文件中,碳强度被认为是衡量碳排放与经济发展之间的相对变化的指标。作为政策制定和实施的基本政府单位,在气候治理方面尚未探索。”本研究的资金来源包括浙江省科技计划项目、浙江省自然科学基金、国家自然科学基金(NSFC)、国家社会科学基金重点项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating from Hangzhou, People's Republic of China, by NewsRx correspondents, research stated, "Carbon intensity has been recognized as a measure of the relative change between carbon emissions and economic development in numerous policy documents at multiple levels. Count ies as the basic governmental units for policy formulation and implementation re main largely unexplored in climate governance." Financial supporters for this research include Zhejiang Provincial Science and T echnology Program Project of China, Natural Science Foundation of Zhejiang Provi nce, National Natural Science Foundation of China (NSFC), Major Project of Natio nal Social Science Fund of China.

Key words

Hangzhou/People's Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Zhejiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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