Robotics & Machine Learning Daily News2024,Issue(Jun.11) :65-65.

Researchers’ Work from University of Malaysia Sabah Focuses on Support Vector Ma chines (Implementation of advanced techniques in production and manufacturing se ctors through support vector machine algorithm with embedded system)

马来西亚沙巴大学研究人员的工作重点是支持向量机(通过嵌入式系统支持向量机算法实现生产和制造中的先进技术)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :65-65.

Researchers’ Work from University of Malaysia Sabah Focuses on Support Vector Ma chines (Implementation of advanced techniques in production and manufacturing se ctors through support vector machine algorithm with embedded system)

马来西亚沙巴大学研究人员的工作重点是支持向量机(通过嵌入式系统支持向量机算法实现生产和制造中的先进技术)

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摘要

《机器人与机器学习每日新闻》的一名新闻记者兼新闻编辑-目前的研究结果已经发表。根据NewsRx编辑在马来西亚Kota Kinabalu的新闻报道,Rese Arch说,"我们的研究旨在探索将数字双胞胎整合到制造业和生产部门,以提高可持续性和运营效率。"

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on have been published. Acc ording to news reporting out of Kota Kinabalu, Malaysia, by NewsRx editors, rese arch stated, “Our study set out to explore the integration of digital twins into manufacturing and production sectors with the aim of enhancing sustainability a nd operational efficiency.”

Key words

University of Malaysia Sabah/Kota Kinab alu/Malaysia/Asia/Algorithms/Embedded Systems/Emerging Technologies/Invest ment and Finance/Machine Learning/Support Vector Machines/Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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