Robotics & Machine Learning Daily News2024,Issue(Jul.4) :10-11.

Data on Machine Learning Reported by Researchers at Data Science Institute (Leve raging Gametic Heredity In Oversampling Techniques To Handle Class Imbalance for Efficient Cyberthreat Detection In Iiot)

数据科学研究所研究人员报告的关于机器学习的数据(在Iiot中处理类别失衡以有效检测网络威胁的过度抽样技术中使用愤怒的游戏遗传)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :10-11.

Data on Machine Learning Reported by Researchers at Data Science Institute (Leve raging Gametic Heredity In Oversampling Techniques To Handle Class Imbalance for Efficient Cyberthreat Detection In Iiot)

数据科学研究所研究人员报告的关于机器学习的数据(在Iiot中处理类别失衡以有效检测网络威胁的过度抽样技术中使用愤怒的游戏遗传)

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摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据来自爱尔兰戈尔韦的新闻报道,NewsRx记者称,“近年来,网络物理系统(CPS)和工业物联网(IIoT)获得了巨大的吸引力;然而,它仍然是网络攻击的脆弱目标。机器学习技术由于其快速的处理能力和实时预测能力而引起了安全应用的兴趣。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Galway, Ireland, by NewsRx correspondents, research stated, “In recent years Cyber- Physical Systems (CPS) and Industrial Internet of Things (IIoT) have gained significant attracti on; however, it remains a vulnerable target for cyberattacks. Machine learning t echniques have garnered interest in security applications due to their rapid pro cessing capabilities and real-time predictions.”

Key words

Galway/Ireland/Europe/Cybersecurity/Cyborgs/Emerging Technologies/Machine Learning/Data Science Institute

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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