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Parameter prediction methods can avoid experimental effort altogether.
Therefore, such methods can avoid some of the difficulties involved in the pixel and bitstream-based methods[178].
All these three different methods can avoid the assumption of the distribution regularities of unknown overall material parameters appeared in existing papers.
Furthermore, in order to evaluate which methods can avoid large misestimation of the prediction error degree, we used MSE in the experiments.
These two methods can avoid the insufficiency of the traditional two-dimensional model that is used to characterize the relationships between properties and structures, and have clear physical significance and provide rich information about the molecular field energy [26].
Second, EMA methods can avoid biases inherent in retrospective recall of alcohol use or momentary states (e.g., urges, craving, affect).
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This two pipeline method can avoid ringing artifacts even around sharp transition regions.
This method can avoid the difficulty of designing the adaptive feedback gain equations.
This method can avoid the back and forth motor moving of the Fibonacci search.
Handling these constraints by penalty method can avoid numerical issues, but yields less optimal solutions.
This method can avoid the misdiagnosis caused by extracting non-fault features.
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