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In addition, our hybrid method can further provide accurate detection performance for a variety of manipulations.
This paper shows that a more comprehensive nonlinear-model-based predictive control method can further improve control performance.
The experimental results show that the proposed method can further improve the positioning accuracy than previous methods.
Additionally, the method can further rebuild the detailed performances of the designs, even when this information is lost in the training process.
This method can further form the basis for evaluating the mechanical compatibility of scaffolds and their interaction with engineered tissues at various scales and levels.
Nuclear power plant computer simulation analysis method can further analyze the available backup facilities and allowable manual action duration for the operator when the digital I&C fail to function.
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The Historical and Sampling methods can further reduce the energy emission compared to Default start.
Note that the transform methods can further be split into linear transform methods, like principal component analysis (PCA), independent component analysis (ICA), Gabor transform, and nonlinear transform methods like Kernel PCA (KPCA), local linear embedding (LLE) etc.
Because both smooth and sparse regularization frameworks have been shown to improve the prediction power of unregularized models [1], [3], [8], it is likely that combining features of both methods can further improve the quality of the estimates.
However, both isolation methods can further be improved.
In addition, we found that combining the results of two methods can further improve the performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com