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Usage of Machine Learning Algorithms for Flow Based Anomaly Detection System in Software Defined Networks
Computer networks are becoming more complex in the number of connected nodes and the amount of traffic. The growing number and increasing complexity of cyber-attacks makes network management and security a challenge. ...
A Novel Approach for Predicting the Adoption of Smartwatches Using Machine Learning Algorithms
The essential purpose of this research is to examine the behavioral intention to adopt smartwatches by individuals. A theoretical model was developed by integrating the Technology Acceptance Model (TAM) with the common ...
Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms
While the RT-PCR is the silver bullet test for confirming the COVID-19 infection, it is limited by the lack of reagents, time-consuming, and the need for specialized labs. As an alternative, most of the prior studies have ...