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This license based approach is very expensive, depending on the number of nodes.
The output coding based approach is very costly in implementation and the result was highly sensitive to the decoding functions and the length of the random code.
Therefore, almost all improvement in accuracy is due to our insertion detection enhancement our soft-clip based approach is very sensitive while the assembly step for insertion detection yields high precision in contrast to Pindel which had low precision.
Black-list-based approaches are very fast, but they cannot detect the zero-hour phishing attack.
About this, neural network-based approaches are very popular in visual inspection because of their high accuracy and efficiency of aligning images.
These functionalized surfaces-based approaches are very useful in the prevention of wounds against microbial contamination and subsequent biofilm development on viable tissues or implanted devices.
The optimized textile dressing samples proved to be more resistant to C. albicans colonization, as compared to the uncoated ones; these functionalized surfaces-based approaches are very useful in the prevention of wound microbial contamination and subsequent biofilm development on viable tissues or implanted devices.
ANOVA-based approaches are very useful for identifying differentially regulated genes but to our knowledge there is no method to test these genes in the meta analysis data for their discriminatory power.
The precision-recall curves are plotted together for a better comparison in Figure 2. As the two PPI datasets predicted by the stringent and the conventional DDI-based approaches are very different in the number of PPIs, their precision-recall curves may not be sufficient for judging the performance of the two prediction approaches.
In [ 30] a very interesting divide-and-conquer GA based approaches is presented.
The ANN based approach was computationally very efficient and thus practical to apply to satellite imagery consisting of millions of pixels.
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