Robotics & Machine Learning Daily News2024,Issue(Dec.4) :151-152.

Studies from University of Malaysia Terengganu in the Area of Machine Learning R eported (A Critical Analysis of Machine Learning In Ship, Offshore, and Oil & Gas Corrosion Research, Part Ⅰ: Corrosion Detection and Classification)

马来西亚大学在机器学习领域的研究报告(机器学习在船舶、近海和油气腐蚀研究中的批判性分析,第一部分:腐蚀检测和分类)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :151-152.

Studies from University of Malaysia Terengganu in the Area of Machine Learning R eported (A Critical Analysis of Machine Learning In Ship, Offshore, and Oil & Gas Corrosion Research, Part Ⅰ: Corrosion Detection and Classification)

马来西亚大学在机器学习领域的研究报告(机器学习在船舶、近海和油气腐蚀研究中的批判性分析,第一部分:腐蚀检测和分类)

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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-调查人员讨论机器学习的新发现。根据新闻报道在马来西亚的特伦加努,由Ne wsRx编辑撰写的研究报告指出,“腐蚀对人类健康构成了重大威胁。”船舶、近海和油气结构的完整性和寿命,产生了巨大的经济效益损失、环境危害和安全问题。近年来,机器学习(ML)应运而生作为一种有前途的海洋腐蚀分析工具。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Terengganu, Malaysia, by Ne wsRx editors, research stated, “Corrosion poses a significant threat tothe inte grity and longevity of ship, offshore, and oil & gas structures, r esulting in substantial economiclosses, environmental hazards, and safety conce rns. In recent years, machine learning (ML) has emergedas a promising tool for corrosion analysis in maritime industry.”

Key words

Terengganu/Malaysia/Asia/Cyborgs/Eme rging Technologies/Machine Learning/University of Malaysia Terengganu

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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