Robotics & Machine Learning Daily News2024,Issue(Dec.2) :132-132.

Research from Ministry of Natural Resources (MNR) in the Area of Marine Engineer ing Described (Comparative evaluation of machine learning models for assessment of seabed liquefaction using finite element data)

描述了自然资源部(MNR)在海洋工程领域的研究(利用有限元数据评估海底液化的机器学习模型的比较评价)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :132-132.

Research from Ministry of Natural Resources (MNR) in the Area of Marine Engineer ing Described (Comparative evaluation of machine learning models for assessment of seabed liquefaction using finite element data)

描述了自然资源部(MNR)在海洋工程领域的研究(利用有限元数据评估海底液化的机器学习模型的比较评价)

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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-海洋工程的研究结果在一份新的报告中讨论。根据来自中华人民共和国青岛的新闻,由NewsRx记者报道,研究称,“预测海底管道周围的波浪液化对海洋工程安全至关重要。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on marine engineerin g are discussed in a new report. According tonews originating from Qingdao, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“Predicting wave-induced liquefaction around submarine pipelines is crucial for marine engin eering safety.”

Key words

Ministry of Natural Resources (MNR)/Qin gdao/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Engineer ing/Machine Learning/Marine Engineering

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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