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The covariance information of the experimental data is propagated and the correlation between the resonance parameters is derived.
Our experiments show that that the O rate of convergence of the modified data to the true data is propagated to positive times including times after wave breaking.
Moreover, the error in these coefficients, associated with limited data, is propagated through a physical system characterized by a stochastic partial differential equation (SPDE).
In [3], for the nodes in the annulus i, wi % of data is propagated directly to the sink node and (1-wi)%is propagated to the next annulus.
We first analyze the degree to which uncertainty in input data is propagated to uncertainty in output predictions.
Scaled data are passed through the input layer and then data is propagated from input layer to hidden layer and finally to reach the targets (output layer) of the network.
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The data are propagated during the activity of engineering to lead to the parameters of the target system.
In the first step, Uncertainties in nuclear data are propagated to two-group cross sections, diffusion coefficients, and assembly discontinuity factors.
In delay-tolerant networks (DTNs) [1], delay-insensitive data are propagated between nodes whenever they are within radio range of one another.
When the boundary data are propagated to the initial value at a certain layer for each incident angle, an objective function is introduced.
Uncertainties in the data were propagated forward to the results by fitting probability distributions to each parameter.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com