Sentence examples for smooth representations from inspiring English sources

The phrase "smooth representations" is correct and usable in written English.
It can be used in contexts where you are describing representations that are seamless, fluid, or easy to understand, often in fields like mathematics, art, or data visualization. Example: "The artist's work is known for its smooth representations of human emotions, capturing the essence of each subject beautifully."

Exact(1)

Applying the aforementioned methodology without the time-scaling option to RNA-seq data, we estimated the smooth representations of the underlying gene expression in Th0 and Th17 lineages.

Similar(59)

Moreover, the semigroup S has a smooth representation independent kernel and we derive bounds on the kernel and all its derivatives.

A novel cell clustering approach for polynomial reconstruction in the vicinity of the small cells is proposed and is shown to achieve smooth representation of flow field quantities and their derivatives on immersed interfaces.

The level-set method has been recently introduced in the field of shape optimization, enabling a smooth representation of the boundaries on a fixed mesh and therefore leading to fast numerical algorithms.

We display the probabilities as a map by using relatively coarse binning (3.3 mV) as this increases pooled samples and reduces timing jitter, thereby giving a smooth representation of the recorded "input-output" dynamics (Figs. 2B C).

With refinements, dynamic programming nicely fills the missing gaps and gives a smooth representation of the lumen (Fig. 9B).

KDE methods are used to give a smooth representation of the intensity of a point process [ 29].

The cerebral white matter was subsequently identified after which the hemispheres were separated, tessellated, and deformed to produce an accurate and smooth representation of the gray-white interface.

Using the model described in Section 2, our first goal is to estimate a smooth representation of gene expression dynamics based on the measured read counts.

However, traditional approaches for modelling geological domains and geostatistical estimation provide smoothed representations of the pertinent deposit attributes, ignore spatial variability and, thereby, can mislead downstream decisions.

The final submission consists of 36 variants, with four different smoothing representations (smoothing radii of 10, 30, 50, and 100 km, respectively) for each of the nine categories, so that it is possible to see which categories and which smoothing methods can make the most of the RI hypothesis.

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