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The interpolation methods we develop are of interest on their own and could have applications to related inequalities.
From these methods, we develop algorithms and programs, which are subsequently applied in evaluating the positioning accuracy of navigation systems.
Using asymptotic methods, we develop analytical expressions to predict these shapes, and consequently, the magnitude of coating defects.
For the purposes of testing numerical methods, we develop two manufactured solutions to the P1 radiation-hydrodynamics system.
Rather than computing an approximate distribution of the model (as done in the previous methods), we develop an exact analysis of an approximate model.
To thoroughly analyze the performance of our proposed methods, we develop a cost model characterizing the performance of our proposed neighbor-based pattern mining strategies.
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"In reality we can apply the methods we developed across a range of animals and behaviours," he said.
Methods: We developed a secure informatics hardware and software platform to identify VAEs autonomously using streaming data.
Methods: We developed and implemented a HCP interview within the patient portal of a large academic health system.
As described in the methods, we developed a random forest classifier13 due to their resistance to overfitting, model interpretability, and ranking of important features.
Methods: We developed a classification algorithm to identify T2D patients based on characteristics including clinical notes, diagnosis and procedure codes, medications, and laboratory tests.
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