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Edmon specializes in large-scale, heterogeneous platforms and methods for analytic data processing.
For each paper, the primary author, the zoonotic disease, the animals studied (domestic, livestock, or wildlife), and our summary of the methods for analytic linkage are presented.
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In the past research, we have proposed a one-shot-projection method for analytic measurement of the shapes of the mirror surfaces, which utilizes the information of two captured laser dots patterns to reconstruct the mirror surfaces.
The Adomian decomposition method (ADM) is one of the most effective methods for constructing analytic approximate solutions.
The Adomian decomposition method (ADM) is one of the most effective methods for constructing analytic approximate solutions of nonlinear differential equations.
Additional methods for ensuring analytic rigor include our use of constant comparative analysis to explore similarities and differences of participants' experiences and to ensure that iterations of interview guides reflected emerging analysis [ 44].
As mentioned in[6], numerous methods are developed for analytic solution of strongly nonlinear differential equations describing the vibrations of the oscillator.
We present a method for producing analytic elements of a smooth shape, obtained using conformal mapping.
The focus ofthe paper is on Bayesian methods for addressing the analytic challenges posed by extensive non-compliance among study participants and substantial levels of missing data.
However, the methods for obtaining the analytic solutions of those FDEs are still lacking due to the complexity of FCT (see [22, 23]).
Sampling and compression are two representative data reduction methods for big data analytics because reducing the size of data makes the data analytics computationally less expensive, thus faster, especially for the data coming to the system rapidly.
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