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The inherent value of any disease predictor, however, is a function not just of predictive power, but also the cost and invasiveness of the prediction procedure, and the cost and effectiveness of the interventions available.
Thus, at each sample time, the results of a fuzzy classifier are used as inputs in the prediction procedure.
The accuracy of the prediction procedure depends directly on the selected stiffness degradation model based on the experimental data.
The prediction procedure makes use of a receptance synthesis method, in which the dynamic model is composed of the elements such as the distributed-mass beam, the lumped mass and the joint.
The prediction procedure is based on representing the direct field of a source as a two-dimensional wavenumber spectrum in which the radial wavenumber and azimuth are the transform variables.
The prediction procedure consists of two sequential levels covering: (1) unidirectional fiber ply consisting of continuous fibers, matrix and randomly distributed pores and short-chopped fiber felt consisting of matrix and randomly distributed short fibers and pores; (2) needled laminate consisting of homogenous layers of fiber plies and felts and the needling yarn.
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The prediction procedures for fatigue life with given survivability of 45 steel notched FW joints under VAL by using Miner's rule and the expressions of P S N curves are outlined.
> -wrap-foot> Prior to the prediction procedures, we prepared a set of template RDM patterns as { RDM i } i =1| RDM |, where | RDM| is the number of unique template RDM patterns, and a set of EC sub-subclasses (the first three digits of EC numbers) as { EC k } k =1| EC |, where | EC| is the number of unique EC sub-subclasses.
The following describes the affinity prediction procedure and includes a description of the grouping method.
We applied the same prediction procedure to the 570 SNPs that were initially discarded in the construction of RH maps as they did not show evidence of linkage with the other SNPs.
ORFs that did not fall into these two categories were discarded, as the purpose of the ORF prediction procedure was not to replace current gene annotations with another gene annotation having a different gene product.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com