Sentence examples for based on network statistics from inspiring English sources

Our study design based on network statistics can be used to systematically observe collective attention dynamics across various conditions.

This article investigates the potential of different traffic sharing techniques to solve persistent congestion problems based on network statistics in enterprise long-term evolution (LTE) femtocells.

In this paper, a self-tuning algorithm for adjusting parameters in a multi-service packet scheduler of a LTE base station based on network statistics has been proposed.

In this paper, a self-tuning algorithm for adjusting parameters in a multi-service packet scheduler of a radio base station based on network statistics is proposed to balance QoE across services in LTE.

In this paper, a self-tuning algorithm for adjusting parameters in a multi-service packet scheduler of a radio base station based on network statistics is proposed to balance QoE across services in Long Term Evolution (LTE).

Finally candidate genes associated with the trait are prioritised based on network statistics like module membership and gene significance.

Automatic adjustment (or self-tuning) of network parameters is often implemented as an iterative process, where parameters are gradually changed with a certain period (referred to as optimization loop) based on network performance statistics.

Also, any change in the structure of the network will change its topological properties, and, because the initial identification of potential disease genes is based on these properties, network statistics should be recalculated following any addition or deletion of nodes or edges.

This observation coincides with our earlier claim that the Fed exhibits a greater attentiveness to the crisis based on the summary network statistics alone (see Table 2).

We compared three methods: one based on the statistics of the flexion data, another based on neural networks, and finally one based on support vector machines (SVM).

We did not find any explanation for incorrect gene essentiality predictions based on simple statistics such as rudimentary network size metrics.