Robotics & Machine Learning Daily News2024,Issue(Nov.8) :70-70.

Researchers from Liaocheng University Detail Findings in Machine Learning (Rapid and Non-destructive Identification of Plastic Particles Through Thz Technology and Machine Learning)

聊城大学的研究人员详细介绍了机器的发现学习(塑料颗粒的快速无损鉴定通过太赫兹技术和机器学习

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :70-70.

Researchers from Liaocheng University Detail Findings in Machine Learning (Rapid and Non-destructive Identification of Plastic Particles Through Thz Technology and Machine Learning)

聊城大学的研究人员详细介绍了机器的发现学习(塑料颗粒的快速无损鉴定通过太赫兹技术和机器学习

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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-机器学习的最新研究结果已经发表。据新闻报道原发于聊城,由NewsRx记者、研究社报道声明:“用于FAS T和具有相似外观的塑料颗粒的准确无损鉴别在进出口检验过程中,以及在质量控制过程中。太赫兹技术提供来自不同领域的SAM样本的无损分析方法"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Liaocheng, People’s Republic of China, by NewsRx correspondents, researchstated, “For fas t and accurate non-destructive differentiation of plastic pellets with similar a ppearanceduring import and export inspections, as well as for quality control p urposes. Terahertz technology offersa non-destructive analysis approach for sam ples from diverse fields.”

Key words

Liaocheng/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Technology/Liaocheng Uni versity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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