Sentence examples for classifying networks from inspiring English sources

We describe approaches for classifying networks based on abstract architectures and functions, rather than on the specific molecular components of the networks.

Broadly classifying networks as malfunctioning versus nonmalfunctioning based on system-wide performance data provides a basic tool for comparison, but given the expected temporal and spatial variability in these factors, it is not surprising that our classifications did not fully capture the heterogeneity across studies.

However microscopic cellular lengths and shapes have also been proven to be powerful readouts for classifying networks in cellular control.

There are many different ways of classifying networks.

Here we propose a method for classifying network structures and ranking its nodes in a statistically well-grounded fashion.

In this paper, we propose a new approach to detect botnet activity based on traffic behavior analysis by classifying network traffic behavior using machine learning.

The popularity of a new generation of smart peer-to-peer applications has resulted in several new challenges for accurately classifying network traffic.

The Q-learning algorithm has been modified to learn optimum cut value for different attributes so that corresponding reduct produces maximum classification accuracy while classifying network traffic data.

Identifying suitable features which can classify networks between cohorts is useful towards understanding the effect of disease on brain architecture.

Figure 2(c) classifies networks by their indegree r and the type of a periodic orbit, and it displays the average number of periodic orbits across all sampled networks.

The intrusion did not compromise classified networks but cost around $10 million and took some four months to deal with, one U.S. official said, speaking on condition of anonymity.