Study Findings from Faculty of Mechanical Engineering Advance Knowledge in Machi ne Learning (Application of Machine Learning Algorithms in Real-Time Monitoring of Conveyor Belt Damage)

机械工程学院的研究成果推进机械学习（机器学习算法在输送带损伤实时监测中的应用）

Robotics & Machine Learning Daily News2024，Issue(Dec.4) ：91-92.

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Study Findings from Faculty of Mechanical Engineering Advance Knowledge in Machi ne Learning (Application of Machine Learning Algorithms in Real-Time Monitoring of Conveyor Belt Damage)

机械工程学院的研究成果推进机械学习（机器学习算法在输送带损伤实时监测中的应用）

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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新闻-研究人员详细介绍了人工智能中的新数据。根据Radom的新闻报道，波兰，NewsRx记者，Re Search说，“这篇论文致力于实时监测封闭运输设备，即皮带输送机。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in artificial intelli gence. According to news reporting from Radom,Poland, by NewsRx journalists, re search stated, “This paper is devoted to the real-time monitoring ofclose trans portation devices, namely, belt conveyors.”

Key words

Faculty of Mechanical Engineering/Radom/Poland/Europe/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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