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Numerous techniques are utilized to identify the sentinel node with approximately the same success rate.
The statistical Gamma test was utilized to identify the most influential soil parameters on BD.
The 3D-motif analysis was utilized to identify the significant features.
A weighted K nearest neighbor (WKNN) classification algorithm is utilized to identify the gear crack levels.
An orthogonal array design was utilized to identify the optimum experimental conditions.
The generalized likelihood ratio test is utilized to identify the faulty components.
Several ways to characterize and measure this anisotropy are presented and utilized to identify the causes for anisotropic sintering behaviour.
PCR technique was utilized to identify the 3 bacterial strains and to detect the adhesin gene "cna".
A pseudo-random binary signal (PRBS) is utilized to identify the linear nominal model of the gantry stage with friction.
A robust compositional factor analysis (CoDa-FA) was utilized to identify the ensembles of elements related to mineralization.
The values of concentration potential of demands are utilized to identify the precedence order of water-using processes.
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