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This method can automatically design feasible handling operations for a robot.
After the calibration, the method can automatically identify new regimes which may be associated with possible faults.
These experiments show that our proposed method can automatically generate structured multiblock boundary layer mesh for aircrafts.
This method can automatically identify structure planes in the image continuously and quickly, and obtain the corresponding structural parameters.
The proposed multi-objective watermarking method can automatically optimize system parameters, and a variable-length mechanism is specially designed to search the most suitable positions for embedding watermarks.
Analysis of agarose gel and allogenic rat heart shows that this method can automatically identify and count dipoles while visualizing their biodistribution in 3D renderings.
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Deep-learning methods can automatically discover multiple levels of representations from raw data instead of requiring manual engineering.
Compared with the conventional subspace analysis methods such as PCA and LDA, the proposed methods can automatically select the dimensionality of feature space from the classification viewpoint.
We demonstrate how Bio-LDA, in contrast to natural language processing methods, can automatically derive a collection of topics of related biological terms that map to clearly understandable biological themes, and which allow the complexity of topics addressed in individual papers to be represented by probabilities of association with topics.
These methods can automatically localize the lesion in the brain by comparing patients' images with a normal control group [ 6].
Overcoming the three main deficiencies of the traditional methods, this method can work automatically, evaluate more performance factors at the same time and meet the particularity of SoC designs.
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