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Particularly, intelligent hybrid systems integrate several models for processing real-world problems [66-70] [66-70]
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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.
Google today pledged that it will not sue any users, distributors or developers who have implemented open-source versions of its MapReduce programming model for processing large data sets, even though these implementations (including, for example, Apache Hadoop) probably infringe upon 10 patents Google holds for this technology.
Here's the thing: the present model for processing rebate claims has built-in a system of "breakage".
Complementarily, Castanedo et al. [ 23] describe a MAS based on the BDI model for processing information and fusing data coming from a distributed visual sensor network.
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.
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