Tianjin University Reports Findings in Machine Learning (Retrieval of subsurface dissolved oxygen from surface oceanic parameters based on machine learning)

天津大学报告机器学习的发现(基于机器学习的表层海洋参数提取地下溶解氧)

Robotics & Machine Learning Daily News2024，Issue(Jun.13) ：43-43.

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Tianjin University Reports Findings in Machine Learning (Retrieval of subsurface dissolved oxygen from surface oceanic parameters based on machine learning)

天津大学报告机器学习的发现(基于机器学习的表层海洋参数提取地下溶解氧)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者从中国天津发回的新闻报道，研究表明：“海洋溶解氧(DO)对海洋物质循环和海洋生物活动至关重要，但由于观测深度有限，直接从卫星观测获得地下DO值是有限的。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Tianjin, Peopl e's Republic of China, by NewsRx journalists, research stated, “Oceanic dissolve d oxygen (DO) is crucial for oceanic material cycles and marine biological activ ities. However, obtaining subsurface DO values directly from satellite observati ons is limited due to the restricted observed depth.”

Key words

Tianjin/People's Republic of China/Asia/Chalcogens/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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