所蔵: The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed

The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed

High quality of service (QoS) requires monitoring and controlling parameters such as delay and throughput. Due to network complexity, conventional QoS-improving routing algorithms (RAs) may be impractical. Thus, researchers are developing intelligent RAs, including machine learning (ML)-based algori...

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主要な著者:	Ridwan M.A., Radzi N.A.M., Azmi K.H.M., Ahmad A., Abdullah F., Ahmad W.S.H.M.W.
その他の著者:	57193648099
フォーマット:	Conference Paper
出版事項:	IEEE Computer Society 2024
主題:	machine learning QoS routing algorithm simulation testbed Learning algorithms Machine learning Quality control Quality of service Testbeds Controlling parameters High quality Intelligent routing algorithm Learning-based algorithms Machine-learning Monitoring and controlling Monitoring parameters Network complexity Quality-of-service Simulation Routing algorithms
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The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed

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