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We used SimRunner, a decision support toolbox of MedModel, to find the optimal solution of the optimization problem, which is detailed later in this paper.
More details about these features will be detailed later.
Note that binarization methods are detailed later.
Each technique will be detailed later.
In order to formulate a general equation and solve the problem systematically, we will discuss it in details later.
To overcome this problem, we propose to use a RS along with RBTM, as discussed in detail later.
However, as we will discuss in more detail later, we believe that this algorithm is not the best solution to this problem.
This problem reduces to a distributed detection problem of a spatially nonconstant binary phenomenon, as shown in Figure 1(c) and described in more detail later.
Optimization includes numerical analysis focused on problem solving in various Big Data challenges: volume, velocity, variety and veracity [62] that will be discussed in more detail later.
Details later.
Policy Details Later.
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