Network Congestion Tracking and Detection in Banking Industry Using Machine Learning Models

Network Congestion Tracking and Detection in Banking Industry Using Machine Learning Models

The escalating threat of congestion in wireless networks on a global scale prompts the need for effective detection and management techniques. This study investigates the tracking and detection of congestion in wireless networks, particularly within the banking industry, where digital transactions...

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Bibliographic Details
Main Authors: Kingsley Ifeanyi Chibueze, Nwamaka Georgenia Ezeji, Nnenna Harmony Nwobodo-Nzeribe
Format: Article
Language:English
Published: College of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, Nigeria 2024-09-01
Series:ABUAD Journal of Engineering Research and Development
Subjects:
Support Vector Machine
Decision Trees
Random Forests
Congestion
Online Access:https://journals.abuad.edu.ng/index.php/ajerd/article/view/783
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https://journals.abuad.edu.ng/index.php/ajerd/article/view/783

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