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To verify the performance of the proposed method, the practical data coming from a steel plant are employed.
In this method, the practical capacity of a roundabout is considered as similar to that of the capacity of the weaving section of the roundabout which is as follows.
To verify the performance of the proposed method, the practical data coming from a steel plant are employed, and the results indicate that the proposed method exhibits high accuracy and reliability for the industrial data.
In briefly describing the method, the practical optimization algorithm contains two part i.e. SPM imaging analysis and modified MCM.
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The proposed method promotes the practical application of probabilistic power flow methods based on Monte Carlo.
Using the e-assessment method both the practical and theoretical skills utilized are assessed, and the method enables assessment regardless of time and place.
However, the significance of the filling method for the practical design of silos has rarely been considered.
There, the method and the practical as well as theoretical learning objective criteria for the assessments were described.
Each method has the practical problem of trying to sample busy clinicians either singly or as a group.
As with any method, however, the practical implementation makes certain technical assumptions that go beyond the known biophysical properties of the system.
However, this method mimics the practical application of error decision making, and has been used successfully to study patient safety and errors[ 21, 56, 57].
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