Sentence examples for different layers of networks from inspiring English sources
We considered two different layers of networks in each TRN based on the analysis of Hela cell cycle data.
Figure 2 shows the network architecture of the developed model with the weight and bias connections between different layers of network.
In particular, cloud radio access networks (C-RAN) aims at realizing various network algorithms and network functionalities in different layers of the network protocol stack in the cloud.
This issue also includes papers showing that NC principles can be used at different layers of the networks (including the physical layer) and how the same fundamental principles can lead to new distributed storage systems.
Open image in new window Fig. 2 Weight and bias connections between different layers of neural network with thermal resistance as output (similar networks were formed for thermal absorptivity, air permeability and moisture vapour transmission rate).
Overall, the quality of the video-on-demand service is dramatically improved with the help of the efficient cooperation between the techniques proposed in different layers of the network.
Several papers on the Copenhagen study describe how different social structures, like groups congregating at the same locations, are discovered using different layers of the network.
Cross-layer designs that integrate different layers of the network have been employed in prior work [22, 23] to guarantee the quality of service and help increase the capacity, reliability, and coverage of systems.
This approach jointly considers the performance optimization across different layers of the network, since inappropriate data detection and estimation that are executed at the lower physical layer can spread incorrect information to the data and link layer where relay selection strategy performs, causing the loss of useful information and degradation of the overall system performance.
The laborious nature of the experimental identification of genetic interactions led researchers toward the prediction of epistasis from information available in different layers of biological network structures.
