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Choosing an appropriate model for processing these codons is a useful method to study genetic processes in Molecular Biology.
Logistic regression is the most common statistical model for processing multivariate data in the medical literature.
MapReduce is a popular programming model for processing large data sets.
In this paper, a new model for processing colour images is presented.
MapReduce, a parallel programming model for processing large data sets, greatly simplifies the complexity of distributed parallel programming.
First, we establish the nonlinear symmetric dead zone model, which is then transformed into a linear symmetric dead zone model for processing.
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Particularly, intelligent hybrid systems integrate several models for processing real-world problems [66-70] [66-70]
Up to now, state-of-the-art empirical slant delay modeling for processing observations from radio space geodetic techniques has been provided by a combination of two empirical models.
In this research, we focus on Hadoop framework and Memcached, which are distributed model frameworks for processing large scale data intensive applications for different purposes.
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner.
We describe methods for isolating single cells from the 3D skin model and for processing the cells for microscopic analysis of micronuclei (MN).
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