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We begin by describing the relevant notation and terminology.
The time has arrived when Stirling engine design requires heat transfer and flow data in consistent and relevant notation.
The relevant notation is given below, in conjunction with sliding processing explained in Figure 3. a m (n): Raw A-scan signal (column vector) acquired at position m.
To accommodate the distinctive features of our data, we employed a Bayesian latent variable model that has been successfully implemented in previous studies of primate cognitive performance [9], [19]; see Supplemental Protocol S1 for relevant notation and further details.
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The relevant notations and explanations used in our scheme are shown in Table 1.
For the sake of convenience, relevant notations introduced in this paper are listed in Table 1.
For the self completeness of this work, we list some relevant notations, definitions, assumption and lemmas in convex analysis.
We briefly introduce Bayesian networks here, along with the relevant notations (see [ 45] for more details).
In the Model section, we introduce the model and relevant notations to be used in the paper.
The rest of the paper proceeds as follows: The next section formulates the problem of protein subcellular multi-location prediction and briefly provides background on Bayesian networks and relevant notations.
We next introduce notation relevant to the representation of a protein's localization.
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CEO of Professional Science Editing for Scientists @ prosciediting.com