Researchers from Qingdao University Provide Details of New Studies and Findings in the Area of Machine Learning (Improved Classification of Coastal Wetlands in Yellow River Delta of China Using ResNet Combined with Feature-Preferred Bands B ased ...)

青岛大学的研究人员提供了机器学习领域的新研究和发现的细节(使用ResNet结合基于...的特征优选带改进的中国黄河三角洲滨海湿地分类)

Robotics & Machine Learning Daily News2024，Issue(Jun.27) ：24-25.

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Researchers from Qingdao University Provide Details of New Studies and Findings in the Area of Machine Learning (Improved Classification of Coastal Wetlands in Yellow River Delta of China Using ResNet Combined with Feature-Preferred Bands B ased ...)

青岛大学的研究人员提供了机器学习领域的新研究和发现的细节(使用ResNet结合基于...的特征优选带改进的中国黄河三角洲滨海湿地分类)

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-在一份新的报告中讨论了人工智能的研究结果。根据NewsRx编辑对中国青岛的新闻报道，研究表明，"中国黄河三角洲湿地属于沿海湿地生态系统，是世界上最年轻和最具特色的湿地之一。"本研究的资助者包括海南省财政科技项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting out of Qingdao , People’s Republic of China, by NewsRx editors, research stated, “The Yellow Ri ver Delta wetlands in China belong to the coastal wetland ecosystem, which is on e of the youngest and most characteristic wetlands in the world.” Funders for this research include The Finance Science And Technology Project of Hainan Province.

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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