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To illustrate our proposed routing method consider the network topology in Figure 4.
To demonstrate the appropriateness and effectiveness of the proposed method, consider the following application in financial time series forecasting.
Not only does the developed method consider the author's utility change before and after forming a link, but it also takes into consideration the latent meeting sequence that is crucially important to determine the network formation.
To illustrate the utility of the method, consider the following example.
To demonstrate the method, consider the following four competing models, where M3 is used to generate the data: (13) y M 1 = θ 1 t (14) y M 2 = θ 1 t + θ 2 t 2 (15) y M 3 = θ 1 t + θ 2 t 2 + θ 3 sin 1 5 t 3 (16) y M 4 = θ 1 t + θ 2 t 2 + θ 3 sin 1 5 t 3 + θ 4 sin 2 t t The presence of sine waves in M3 and M4 elicits particularly noticeable patterns in the optimal experiment design matrices.
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This method considers the spatial properties of rainfall radar images.
The BW method considers the quality of the cooperative and the reverse link of each RS.
The proposed method considers the noise and the ghost artifact problems.
These values describe the overall performance of one method considering the results of all other methods.
The proposed method considers the types of materials, the final objective thickness and the roll speed.
The proposed method considers the sinkhole problem in the context of Dynamic Source Routing (DSR).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com