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The prediction method is based on a one-dimensional nonlinear propagation model.
The prediction method is based on modelling the nonlinear propagation of one-dimensional sawtooth waveforms.
The proposed prediction method is based on a so-called modified grey model with first order – one variable – MGM 1,1).
The prediction method is based on a Longitudinal Grade of Membership (L-GoM) model, developed by a research team also led by Dr. Stern and published in 2010.
This prediction method is based on all the available test results for each behavior mode type (6 tests on steel and 12 tests on composite specimens).
The prediction method is based on frequency-domain solutions of the linearized Euler equations in conjunction with perfectly matched layer equations at the inlet and far-field boundaries using high-order finite differences.
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However, our prediction method was based on a published statistical model that was validated using multiple datasets, including compiled sets of co-regulated genes and multiple ChIP-chip datasets [ 28].
One of the pavement life prediction methods is based on the pavement's capability to sustain fatigue.
Note that since graph-based orthology prediction methods are based on BLAST a local alignment protocol they are not designed to distinguish between sequences sharing a common domain architecture and those having only local matches, increasing the potential for annotation errors.
Till date, most prediction methods are based on performing regression on the predictor variables directly to predict soil attributes or classes.
Early prediction methods were based on single-mode, linear models which were not accurate for complex structures or large-amplitude response levels.
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