Robotics & Machine Learning Daily News2024,Issue(Nov.18) :54-54.

Study Findings from Ibaraki University Broaden Understanding of Machine Learning (Indoor Area Estimation System Using RSSIMeasuring Handheld Reader Utilizing D irectional Reference RFID Tags and Machine Learning)

茨崎大学的研究结果扩大了对机器学习的理解(室内区域估计系统,使用RSI测量手持阅读器,使用三维参考RFID标签和机器学习)

Robotics & Machine Learning Daily News2024,Issue(Nov.18) :54-54.

Study Findings from Ibaraki University Broaden Understanding of Machine Learning (Indoor Area Estimation System Using RSSIMeasuring Handheld Reader Utilizing D irectional Reference RFID Tags and Machine Learning)

茨崎大学的研究结果扩大了对机器学习的理解(室内区域估计系统,使用RSI测量手持阅读器,使用三维参考RFID标签和机器学习)

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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-关于人工智能的最新研究成果已经发表。根据NewsRx记者从日本茨城县发回的新闻报道,研究称,“实现高效仓库”在室内环境中进行产品管理已成为一个具有挑战性的问题。如果使用者可将产品存放在空置处,然后用简单的系统粗略定位,这个本地化系统将使仓库的区域使用更加有效和灵活。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on artificial in telligence have been published. According tonews reporting from Ibaraki, Japan, by NewsRx journalists, research stated, “Achieving efficient warehouseoperatio ns for product management in an indoor environment has recently become a challen ging issue. Ifa user can store a product in a vacant place and then roughly loc alize the product with a simple system,this localization system will enable eff icient and flexible area usage in a warehouse.”

Key words

Ibaraki University/Ibaraki/Japan/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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