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In principal, no empirical parameters are needed for our calculations.
Prospective studies associating several parameters are needed to improve prognostication.
Because the fault parameters are needed for this estimation, the number of available earthquakes was limited.
In contrast, only 2 parameters are needed to describe fully the experimental system by the SIT.
Our method is efficient in dealing with large images and only few parameters are needed.
These kinetic parameters are needed in the theoretical modeling of the foam's smoldering behavior.
No additional adjustable parameters are needed to predict the damage evolution.
Only two dimensionless parameters are needed to predict all pressures and flows.
With this approach, few parameters are needed to predict adsorption equilibria.
Increasingly, more detailed pixel-wise estimates of forest biophysical parameters are needed for such endeavors.
The resultant computational scheme is accurate but simple, as few parameters are needed for function definition.
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