Robotics & Machine Learning Daily News2024,Issue(Jun.26) :9-9.

New Findings from Eotvos Lorand University Describe Advances in Machine Learning (Investigating Traditional Machine Learning Models and the Utility of Audio Fea tures for Lightweight Swarming Prediction In Beehives)

Eotvos Lorand University的新发现描述了机器学习的进展(研究传统的机器学习模型和音频特征在蜂窝中轻量级蜂拥预测中的应用)

Robotics & Machine Learning Daily News2024,Issue(Jun.26) :9-9.

New Findings from Eotvos Lorand University Describe Advances in Machine Learning (Investigating Traditional Machine Learning Models and the Utility of Audio Fea tures for Lightweight Swarming Prediction In Beehives)

Eotvos Lorand University的新发现描述了机器学习的进展(研究传统的机器学习模型和音频特征在蜂窝中轻量级蜂拥预测中的应用)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。根据NewsRx记者从布达佩斯发回的新闻报道,研究表明:“远程监控蜂箱的状态对于高效养蜂至关重要,可以减少养蜂人的工作量,而且由于不会频繁打开蜂箱,也可以减少蜂群的压力。利用各种模式的机器学习模型进行健全分析,是所谓智能蜂箱的共同特征。”匈牙利创新和技术部国家研究、发展和创新基金对这项研究的财政支持。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating from Budapest, Hu ngary, by NewsRx correspondents, research stated, "Remote monitoring of the stat us of beehives is essential for efficient beekeeping, leading to less workload o n the beekeeper and, because of not opening the hives too frequently, to less st ress for the colonies. Sound analysis, utilizing machine learning models of vari ous paradigms, is a common feature of so-called smart hives." Financial support for this research came from Ministry of Innovation and Technol ogy of Hungary from the National Research, Development and Innovation Fund.

Key words

Budapest/Hungary/Europe/Cyborgs/Emer ging Technologies/Leisure/Machine Learning/Eotvos Lorand University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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