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The successful application of a data set from Bangladesh also demonstrated the applicability and credibility of this proposed method.
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In this article, we motivate the application of a data-adaptive estimation approach called super learning (SL) to avoid reliance on arbitrary parametric assumptions in CER.
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This study focuses on the development and application of a data-assimilated multi-algorithm which combines a fourth-order finite-volume computational fluid dynamics (CFD) algorithm and the ensemble Kalman filter (EnKF) data assimilation algorithm for solving the problems involving important physics relevant to wave convection, molecular diffusion, and reaction of interest to engineering science.
Implicit in this approach is the application of a data-specific UF to the SNCD in order to arrive at the RfD.
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Here we therefore describe the development and application of AnnoTrack, a data tracking system for genome annotation with the hope that similar projects can use and build on it.
In this paper, we describe the construction and application of a straightforward data smoothing approach to identify REBs from gene expression data.
The application consists of a data entry form, a knowledge base, an inference engine, and a patient database.
They are preceded by an application of a standard data analysis task which is not based on CI methods.
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