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To reduce memory requirements for texture mapping a model, we build a surface parametrization specialized to its signal (such as color or normal).
Based on our PoNS model, we build a prototype of a news sharing application that promotes serendipitous political readings along our four dimensions.
Therefore, the model we build for strain-to-species and species-to-genus fits majority of the cases.
If distribution patterns shift to a direct model, we build our business under the direct model.
Based on this basic model, we build the model for a pair of individuals.
To test the mathematical model, we build a corresponding knowledge-driven network that is comprehensive in the sense that it incorporates interactions for which there are multiple sources of supporting experimental evidence.
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"The model we built [relying on foreign funding] was unsustainable," says Gasser Abdel Razek, executive director of EIPR.
In order to verify the dynamic model, we built a test system with variable frequency compressor, water-cooling condenser, evaporator and electronic expansion valve.
To demonstrate the feasibility of the LWT model, we built a prototype implementation on top of the Sprite operating system, the Tcl/Tk facility, and the Berkeley OCT CAD tool suite.
In order to test phoneme recognition with a language model, we built unigram, bigram and trigram language models.
The funding allows us to go out, take the economic model we built and as we scale we make more money.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com