Sentence examples for classifying applications from inspiring English sources

The work in [139] proposes an admission control protocol to prevent over-utilization of system resources, classifying applications based on resource quality requirements.

Existing approaches which are based on two-way decisions (such as acceptance and rejection) for classifying applications behaviour result in two shortcomings.

Based on user interaction, AURA dynamically classifies applications.

Two independent ways to classify applications are proposed, one according to the inspected features of the industrial product or process and the other according to the inspection independent characteristics of the inspected product or process.

Port based traffic analysis can classify application layer protocols [2, 3] used port numbers to analyze the type and trend of traffic application.

Further applications to classifying covering arrays with the minimum number of runs and packing arrays with the maximum number of runs are presented.

Users can classify their applications as either HP or LP.

To improve this management, we propose to classify the applications in terms of CPU frequency.

Some of the works use machine learning techniques to classify the applications or the user activities.

Correctly identifying server ports among network traffic has great significance for accurately classifying traffic application types.

We use the information captured during 2 weeks to classify these applications like mentioned in Section 6.