Robotics & Machine Learning Daily News2024,Issue(Aug.30) :62-62.

Studies from Al-Hikmah University Reveal New Findings on Machine Learning (A Lea rning Approach for The Identification of Network Intrusions Based on Ensemble XG Boost Classifier)

Robotics & Machine Learning Daily News2024,Issue(Aug.30) :62-62.

Studies from Al-Hikmah University Reveal New Findings on Machine Learning (A Lea rning Approach for The Identification of Network Intrusions Based on Ensemble XG Boost Classifier)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingoriginating from Al-Hikmah Univers ity by NewsRx correspondents, research stated, “The limitation ofsignature-base d Intrusion Detection systems has given rise for the popularity of Machine learn ing (ML)approaches r for building such intrusion detection systems (IDSs). ML i s a sub-filed of Artificial Intelligencethat enables algorithms to learn from d ata and its applications have been widely accepted and used inmany domains.”

Key words

Al-Hikmah University/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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