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Our method presents a false alarm rate of 0.42%%.
In all cases, the method presents a 100% classification success.
Our proposed method presents a slight increase in classification accuracy by 0.01%%.
GVF-Snake method presents a high attraction range, and is thus less sensitive to inaccurate initialization.
This method presents a comprehensive approach to evaluating the discovery and navigation dynamics in recommender systems.
Thus, analytical method presents a large error, about 110 %, on switching loss.
Our method presents a recognition rate of above 80% when the number of codebook is greater than 30.
On the other hand, the HO Comp method presents a lower value of the HOSR although it remains above 95%%.
This method presents a simple and eco-friendly way for the controlled synthesis of ternary nanomaterials with tailored structures.
Hence under STC, the proposed method presents a faster response with a good efficiency and oscillations are almost neglected.
Technically, the method presents a certain generalization of the 'variational' uncertainty quantification method for observed systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com