Robotics & Machine Learning Daily News2024,Issue(Sep.5) :30-31.

Korkyt Ata Kyzylorda University Researchers Report on Findings in Machine Learni ng [Predicting LAN switch failures: An integrated approach wi th DES and machine learning techniques (RF/LR/DT/SVM)]

Robotics & Machine Learning Daily News2024,Issue(Sep.5) :30-31.

Korkyt Ata Kyzylorda University Researchers Report on Findings in Machine Learni ng [Predicting LAN switch failures: An integrated approach wi th DES and machine learning techniques (RF/LR/DT/SVM)]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on artificial intelligence are discussed in a new report. According to news reporting out of Korkyt Ata Kyzylor da University by NewsRx editors, research stated, “This research paper introduces an innovative approach to predicting failures in Local Area Network (LAN) swit ches, combining DoubleExponential Smoothing (DES) with a suite of Machine Learn ing (ML) algorithms including Random Forest(RF), Logistic Regression (LR), Deci sion Trees (DT), and Support Vector Machines (SVM). The primaryobjective of thi s study is to enhance the accuracy and timeliness of LAN switch failure predicti ons, therebyfacilitating more proactive and effective network management.”

Key words

Korkyt Ata Kyzylorda University/Algorit hms/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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