Robotics & Machine Learning Daily News2024,Issue(Jun.28) :34-35.

Reports from University of Sydney Add New Study Findings to Research in Machine Learning (Ensemble learning based anomaly detection for IoT cybersecurity via Ba yesian hyperparameters sensitivity analysis)

悉尼大学的报告为机器学习的研究增加了新的研究结果(通过Ba Yesian超参数敏感性分析的基于集成学习的物联网网络安全异常检测)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :34-35.

Reports from University of Sydney Add New Study Findings to Research in Machine Learning (Ensemble learning based anomaly detection for IoT cybersecurity via Ba yesian hyperparameters sensitivity analysis)

悉尼大学的报告为机器学习的研究增加了新的研究结果(通过Ba Yesian超参数敏感性分析的基于集成学习的物联网网络安全异常检测)

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-在一份新的报告中讨论了人工智能的研究结果。根据NewsRx记者从悉尼大学发来的新闻,研究表明:“世纪互联网(IoT)整合了全球数十亿个智能设备,能够在几乎没有人干预的情况下与其他连接设备进行通信。物联网能够在大规模上进行数据聚合和分析,以提高许多领域的生活质量。”这项研究的财政支持者包括西悉尼大学。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from the Uni versity of Sydney by NewsRx correspondents, research stated, “The Internet of Th ings (IoT) integrates more than billions of intelligent devices over the globe w ith the capability of communicating with other connected devices with little to no human intervention. IoT enables data aggregation and analysis on a large scal e to improve life quality in many domains.” Financial supporters for this research include University of Western Sydney.

Key words

University of Sydney/Cybersecurity/Cyb orgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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