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For common supply-chain disruptions poor supplier performance, forecast errors, transportation breakdowns, and so on those methods work very well, using historical data to quantify the level of risk.
The results show that these methods work very inefficiently when applied to such problems and may give inaccurate numerical results, especially in shock location (or speed), even with a very fine grid.
As the results have shown, both methods work very well, analyzing the influence of the quality of this initial estimation in the performance of the methods.
The proposed methods work very well in the case of high-dimensional recordings such as 12 lead ECGs and where it is not difficult to obtain a rough estimate of the main atrial frequency.
Some methods work very poorly whatever the type of HGTs and some depend on the conditions or on the metrics used.
Although these methods work very well when sufficient sequence similarity is present, they tend to miss more divergent family members, which lie within and below the so-called twilight zone of below 20% sequence similarity.
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In that study we therefore adjusted our dataset to 9%% malicious files, and our methods worked very well, providing high true positive rates (TPR) and low false positive rate (FPR) rates.
Numerical simulations show that this method works very well.
Computational experiments show that our method works very well.
"I use a very painstaking method, working very closely from photos," he says.
Also, it turns out that the proposed method works very well in various shape optimization problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com