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However, parallel implementations of iterative methods achieve higher efficiency, but need suitable preconditioners in order to speed up their convergence.
The methods achieve higher DOA estimation accuracy and resolution performance than the conventional CSSM even if there are fewer sensors or antennas than the incoming signal sources.
While these methods achieve higher detection performance, the weight update is heuristic, making it difficult to predict performance prior to in-field use.
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Some methods achieve high accuracy on autonomous vehicle, but they can't work normally without the aid of high-precision priori map.
The proposed methods achieve high error probability for all the tested payloads.
The BLAST based methods achieve high accuracy on the non-duplicated nodes since the sequences of nodes are not changed.
On the myoglobin negative control, the tree-ignorant methods achieved higher AUC scores for precision and recall, suggesting more false positives for the tree-ignorant methods.
On the myoglobin data set, the tree-ignorant methods achieved higher AUC scores for precision and recall than the tree-aware methods.
On the myosin alignment, the tree-ignorant methods achieved higher AUC scores for recall than the tree-aware methods, but the highest precision scores appear similar between the two classes of methods.
Different from the traditional methods achieving high birefringence, a new highly birefringent hybrid PCF that guides light by both index guiding and bandgap guiding is proposed.
Also in 80% of the cases, if any of the feature selection methods achieves high predictivity, SConES outperforms all other methods including BLUP.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com