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Two main approaches for prediction of blast fragmentation given in the literature are used for comparison.
The use of residual K (Kres) approaches for prediction of fatigue crack growth rates in residual stress fields was studied.
Commonly, empirical correlations due to their simplicity have been referred more than other approaches for prediction of Z-factor.
There are different approaches for prediction of PE.
Different approaches for prediction uncertainty analysis based on optimization are proposed in (Brännmark et al., 2010; Cedersund and Roll, 2009; Nyman et al., 2011).
With the independent human and mouse liver ChIP-Seq datasets available FoxA2 is one of the most convenient TFs to compare different computer approaches for prediction of TFBSs.
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Previous approaches for predictions of miRNA regulatory modules considered as a measurement the expression coherence; that is, that the expression of member miRNAs (and their targets) would be highly correlated within a module.
Comparison of deep learning approach with conventional ML approach for prediction of materials properties.
This paper outlines a new approach for prediction the overbreak depth during tunnel construction.
This study deals with a generic approach for prediction of pulsation suppression with acoustic dampers.
In the presented study, a novel and reliable computational approach for prediction of ROP is proposed.
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methodology for prediction
strategy for prediction
method for prediction
approaches for pathway
approaches for transport
approaches for error
approaches for dietary
approaches for program
approaches for sciatica
approaches for profile
approaches for interference
approaches for sequencing
approaches for mapping
approaches for estimation
approaches for exacerbation
approaches for model
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