Sentence examples for decomposition transformation from inspiring English sources

Here we release the first report on development of horn-like hollow mesoporous ultrathin (HHMU) g-C3N4 tubes via first forming a horn-like Br-containing intermediate followed by further decomposition transformation under co-pyrolysis of melamine and substantial NH4Br.

Similar to composition, the algorithm establishes two types of mappings to activate the decomposition transformation.

In fact, these two kinds of decomposition techniques applied in this article can be considered as manifold decomposition transformations [11, 16 18].

Methods like latent semantic analysis perform singular value decomposition transformations on the feature space and may be employed to further reduce both dimensionality and the effect of non-discriminating terms [51].

Multi-level decomposition wavelet transformation is an efficient method to detect the fault location and components of the inverter.

Our results suggested that dynamics of RR-OM (e.g., dissolution, decomposition and transformation) in soils, and thus interactions between Cd and solid/dissolved-RR-OM may control Cd phytoavailability under RR amendment.

To reduce the undesired 5th and 7th stator harmonic current in the six-phase permanent magnet synchronous motor (PMSM), an improved vector control algorithm was proposed based on vector space decomposition (VSD) transformation method, which can control the fundamental and harmonic subspace separately.

The attributes should be practical and subjective, and decomposition or transformation should be applied ahead to avoid any inclusive relationships.

Ardagna et al.[16] focus on controlled disclosure of sensitive access control policies and also discuss policy decomposition and transformation rules.

The decrease in pigments during the later stage of fermentation indicated the decomposition or transformation from orange pigments into yellow pigments.

In order to evaluate the self-taught learning algorithm itself, we obtained genre classification accuracy using the initial set of 1780 dimensional feature vectors, i.e., without any matrix decomposition and transformation, and a SVM classifier.