首页|Researchers from Muhammad Ali Jinnah University Describe Findings in Machine Lea rning (Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security)
Researchers from Muhammad Ali Jinnah University Describe Findings in Machine Lea rning (Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Muhammad Ali Jinnah University by NewsRx correspondents, research stated, “Ourresearch aims to improve automated intrusion detection by developing a highly accurate classi fier withminimal false alarms. The motivation behind our work is to tackle the challenges of high dimensionalityin intrusion detection and enhance the classif ication performance of classifiers, ultimately leading to moreaccurate and effi cient detection of intrusions.”
Muhammad Ali Jinnah UniversityCybersec urityCyborgsDimensionality ReductionEmerging TechnologiesMachine Learnin g