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Such extra output, according to our modeling, comes from three sources.
Previous work in computer-aided vascular modeling comes from two communities.
One of the most insightful approaches to modeling comes from the environment of Extreme Programming (XP) software development.
Our motivation behind the use of PARAFAC modeling comes from the possibility of studying identifiability by resorting to the well-known results available in the literature.
The importance of microwave transistor modeling comes from the fact that the transistor is the key component in high-frequency circuits that are at the heart of modern wireless communication systems, such as mobile telephony.
The need for this physical modeling comes from our ultimate goal to predict and prevent one of the consequences of this abnormal circulation, namely, a form of brain injury called periventricular leukomalacia (PVL).
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However, HMCs may become unworkable when the data to be modeled come from many heterogeneous sensors.
Recent contributions to mobility modeling come from computer science [6 8], transportation engineering [9, 10], geographic information sciences [11, 12], and complexity sciences [13 15].
To the foregoing problems must be added the overarching problem that most of the data for BBDR modeling come from experimental animals.
Yet this model comes from television.
Observational support for this general model comes from several independent directions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com