Performance Enhancement of Congestion Mechanisms E-learning Patform

  • Ali Abed Mahmoud
الكلمات المفتاحية: machine learning; decision tree algorithm; IoT; WSN; C4.5; congestion c

الملخص

The model was implemented on a training dataset to determine the optimal parametric setting in a 5G environment. The dataset was used to train the machine learning model and enable the prediction of optimal alternatives that can enhance the performance of the congestion control approach. The DT approach can be used for other functions, especially prediction and classification. DT algorithms provide graphs that can be used by any user to understand the prediction approach. The DT C4.5 provided promising results, with more than 92% precision and recall.

المراجع

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منشور
2020-02-10
كيفية الاقتباس
Ali Abed Mahmoud. (2020). Performance Enhancement of Congestion Mechanisms E-learning Patform. Journal of Arts, Literature, Humanities and Social Sciences, (88), 209-217. https://doi.org/10.33193/JALHSS.50.2020.784
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