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Also, some methods with higher specificity, proposed to detect a single analyte, are presented.
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Several statistical methods have been proposed to detect an RS [ 5], specifically in MS populations: the then-test, structural equation modeling (SEM) [ 7], latent trajectory analysis of residuals [ 8], and more recently, recursive partitioning tree analysis as a data mining method [ 9].
A new method is proposed to detect and locate a crack in a rotor system.
Time-domain reflectometry (TDR) has previously been proposed to detect damage over a wide area with a small number of electrodes and applied to detect fibre breakage in unidirectional CFRP ply specimens.
A hybrid algorithm combining an adaptive real-parameter genetic algorithm with simulated annealing is proposed to detect damage in a simply supported equal-sided sector of a spherical laminate shell.
A statistical process control (SPC) framework is proposed to detect potential changes of a wave profile on a real-time basis.
Numerous statistical attack models have been proposed to detect the presence of a participant in a case population.
Furthermore a specific procedure is proposed to detect multiple cracks in an automatic way.
As mentioned in "Previous work", many algorithms have been proposed to detect outlier nodes in a graph.
Further, maxH and maxV were also proposed to detect the signal of a single haplotype/variant.
A penalized LS regression with fused lasso penalty (LS-FL) was proposed to detect "hot spot" in a CGH data [ 14, 15].
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