Sentence examples for augmented field from inspiring English sources

The phrase "augmented field" is correct and usable in written English.
It can be used in contexts related to technology, virtual reality, or enhanced environments where an existing field is improved or expanded upon.
Example: "The augmented field of virtual reality allows users to experience immersive environments that blend the digital and physical worlds."
Alternatives: "enhanced area" or "expanded domain".

Exact(2)

Phenotypic traits were evaluated on BC2F3 plants using augmented field design.

"For each experience Gary Gunn used augmented field recordings and designed spacial audio mostly in Reaktor, which Jeff Crouse then imported into the Unity3D audio engine".

Similar(58)

An example demonstrated that the augmented neural field equations can produce spatiotemporal patterns that cannot be generated with corresponding 'classical' neural fields.

The augmented distortion field around the pile-up may relax by forming a low-energy boundary, but one which does not require a significant change in misorientation.

We have designed and synthesized an efficient D-π-A carbazole dye molecule whose absorption maxima matches the plasmonic resonance of AgNPs leading to augmented near field effect, enhancing photon harvesting property of dye molecule.

Blippar has been in the augmented reality field since before Google Glass.

( A ) Simulation of the augmented neural field (ANF) with parameter values given in Table 1.

Since all parameters in the resulting augmented neural field equations have a representative in the spiking neuron network (and vice versa), this greatly simplifies the otherwise often problematic translation from results obtained by neural field models back to biophysical properties of spiking networks.

(35) We conclude this section with a simulation of (ANF) for a particular parameter set (Table 1), which illustrates that our augmented neural field can generate interesting spatiotemporal behavior that closely resembles spiking patterns of a network of Rulkov neurons (SNM) with corresponding parameter values (Fig. 8).

It is coined multidimensional because the fields to forecast are defined over an augmented domain in terms of dimension.

The proposed approach involves an implicit Eulerian formulation in an augmented space – called field space, which incorporates both velocity and electric fields into the configuration.

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