Sentence examples for matching transformation from inspiring English sources

Exact(2)

With this topology, the zero voltage switching is able to be achieved even if the load is different by properly designing the LC matching transformation circuit.

No extra matching transformation other than simple translations/rotations is necessary.

Similar(58)

For each time series containing measured values in a specified range around the reference measurement of the PSI process, where the reference measurements do not already match, transformation values can be calculated automatically.

RMA (Robust Multichip Average) signal intensities were calculated using Affymetrix Expression Console, converted to arithmetic scale, and transformed using an adaptive variance-stabilizing, quantile-normalizing transformation that was scaled to match the transformation used on the RNA-Seq data.

Hardware limitations on the Nintendo 3DS led to various design choices, such as the removal of mid-match transformations, the absence of the Ice Climbers, and the lack of Circle Pad Pro support.

This is attributed to the effect of lattice strain matching between the transformation lattice distortion of the TiNi matrix and the elastic strain of Ti3Sn lamellae.

Rascal supports extensible definition of concrete syntax, abstract syntax and operations on concrete and abstract syntax trees like matching, traversal and transformation.

The higher-level nature of them comparing to discrete edge line segments also makes possible the proposed feature matching process and transformation quality measure.

The SMARTS language is supported well including features such as stereochemistry, component grouping, and atom maps (to match reaction transformations).

In a very comprehensive analysis of GlaxoSmithKlines's internal data, Papadatos et al. analyzed the effects that many matched pairs transformations had on hERG inhibition [15].

Several Chinese character recognition methods have been proposed, with the best known being the transformation invariant matching algorithm [49], adaptive confidence transform based classifier combination [50], probabilistic neural networks [51], radical decomposition [52], statistical character structure modeling [53], Markov random fields [54], and affine sparse matrix factorization [55].

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