New Machine Learning Findings from Mansoura University Described (Fault Classifi cation and Localization In Microgrids: Leveraging Discrete Wavelet Transform and Multi-machine Learning Techniques Considering Single Measurements)

描述了曼苏拉大学的新机器学习发现（微电网中的故障分类和定位：利用离散小波变换和考虑单一测量的多机器学习技术）

Robotics & Machine Learning Daily News2024，Issue(Jun.14) ：7-8.

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New Machine Learning Findings from Mansoura University Described (Fault Classifi cation and Localization In Microgrids: Leveraging Discrete Wavelet Transform and Multi-machine Learning Techniques Considering Single Measurements)

描述了曼苏拉大学的新机器学习发现（微电网中的故障分类和定位：利用离散小波变换和考虑单一测量的多机器学习技术）

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-在一份新的报告中讨论了机器学习的研究结果。根据NewsRx编辑在埃及曼苏拉的新闻报道，研究表明，“目前微电网正变得越来越普遍。因此，开发强大可靠的微电网保护方案至关重要。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Mansoura, Egyp t, by NewsRx editors, research stated, “Currently, microgrids are becoming more prevalent. Therefore, it is crucial to develop robust and reliable microgrid pro tection schemes.”

Key words

Mansoura/Egypt/Africa/Cyborgs/Emerging Technologies/Machine Learning/Mansoura University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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