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Choosing suitable values for these parameters is difficult.
Consequently, the identification of the latter parameters is difficult on the basis of recorded process data.
However, conducting a quantitative study on many physical parameters is difficult when cutting speed is high.
Finding an optimal metric based on these parameters is difficult due to varying requirements for different service classes.
It thus seems that an analytical, closed-form expression for the optimal parameters is difficult to be found.
Because in vitro evaluation of these biomechanical parameters is difficult we used finite element (FE) models to overcome this.
Similar(40)
Validating TCMS items with COP parameters was difficult.
If z is chosen as variable, both parameters are difficult to control.
These input parameters are difficult to determine experimentally, and their choice may be controversial.
All of these parameters are difficult to measure, and they vary over time.
A potential drawback of this method lies in using a generic image segmentation algorithm, whose parameters are difficult to tune.
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