Sentence examples for spreading based from inspiring English sources

On the other hand, another vegetation spreading based on spectral reflectance is carried out in parallel.

A number of studies proposed more complex models of rumor spreading based on several classical models of social networks including homogeneous networks, Erdos-Renyi (ER) random graphs, uncorrelated scale-free networks and scale-free networks with assortative degree correlations.

Based on the above description, how to combine the advantages and avoid the disadvantages of the 2-hop and multi-hop forwarding is a quite interesting issue for epidemic spreading based intermittently connected mobile ad hoc networks routing.

Simulation experiments are conducted to compare the performance of the proposed CMV algorithm with two existing schemes, namely the rumor spreading based scheme and the Update Propagation Through Replica Chain (UPTReC) scheme.

It is found that hierarchically nanostructured CeO2 films consisting of islands plus microcracks provide the fast channel for water spreading based on capillary effect, while numerous surface active sites originating from oxygen vacancies improve the interfacial affinity for water molecules, together resulting in the superhydrophilicity of CeO2 surface.

This paper evaluates the performance of current practice for the proposed National Building Code for Canada, NBCC 2015 ground motions and extends the deaggregation method to the calculation of lateral spreading based on Youd's empirical equation (Youd et al., 2002) [11].

To complement the analytical model, we ran individual-based computer simulations of CI spread, based on an extended version of the population genetics software Nemo [ 22].

The sigma points are spread based on the current uncertainty, propagated and then their spread is measured.

Actives were selected from confirmatory screens and were chosen to be maximally spread based on simple descriptors and embedded in decoys.

For our purposes, the faithfulness of a data representation is measured by how close the outcomes of the epidemics spread based on that representation are to those of the simulations based on the DYN representation.

This approach can accurately learn a graph structure, which can then be used by graph-based event detection methods such as GraphScan, enabling more timely and accurate detection of outbreaks, which spread based on that latent structure.