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In this method, a number of 3D virtual rectangular objects with a scale are located on the grid of 3D geographical model.
We design a geographical model of banking to examine the optimal use of alternative collateral types and lending technologies: transaction lending, asset-based lending and fixed asset lending.
These algorithms have their theoretical foundation in numerically solving the minimum routing cost problems, which are formulated as continuous geodesic problems via the geographical model.
This paper studies the minimum routing cost problems for massively dense WSNs via the geographical model, which leads to the grid-based directional routing algorithms.
In this paper, we adopt the geographical model to study the minimum routing cost problems for massively dense WSNs in which the problems are formulated as continuous geodesic problems.
AEGIS-CCT can create single patient clusters as well as sets of patient clusters based on a simple geographical model.
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The proposed framework and the modelling approaches based upon it allow geographical models to be derived that are capable of representing both observational data and higher-level abstractions that can be derived from that data combined with external expert knowledge.
Tools for building geographical models based on cellular automata are also widely available.
However, given the applied nature of research in this field and the complexity that advanced geographical modeling can pose to its users, the proposed models remain simplistic and inaccurate in many cases.
It combines conventional geographical modelling with conventional life cycle software through the use of catchment delineation.
It does this through combining conventional geographical modelling with conventional life cycle software through the use of catchment delineation.
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