The proposed method is evaluated on three public bearing datasets, and achieves the average testing accuracies of 99.65%, 99.66% and 99.60% respectively.
They characterize the average linear network coding throughput for the combination network with min-cut 2 over an arbitrary finite field, and provide a network code, which is completely specified by the field size and achieves the average coding throughput for the combination network.
The SVM-RFE maintained average classification accuracy rate above 90%% for 12 28 electrodes and achieved the highest average classification accuracy rate of 90.7 % with 14 electrodes.
Our evaluation using a manually annotated data set showed that the two-stage classifier outperformed the single-stage classifier and achieved the best average accuracy of 83.7% for the eight most frequently mentioned genes when optimized feature sets were used.
During 10 loads at a 2-h contact time each, the Opt A and Opt B achieved the average fecal coliform removals of 72.4% and 77.9% and phosphorus removals of 49.8% and 40.5%, respectively.
According to the available standard, 47.58 percent of children achieved the average rating, 39.41percentt were below average, and only 2.23percentt achieved an above average rating.
The overhead method does not consider the effect of the moving speed and achieves the lowest average rate among all the handoff methods.
In addition, aggregate savings will depend on how many Medicare beneficiaries in a particular group (e.g. BMI ≥ 30) use the weight loss drug and achieve the same average result.
Results show that our tracking approach can automatically recover from localization failures, and it could achieve the average tracking error of 1.15 m and a 90% accuracy of 1.8 m.
As a result, Glimmer 3.02 and GeneMark.hmm 2.4 achieve the average accuracies of 98.89 and 99.14%, respectively.
The boosting algorithm, both L2B and LhB, achieved the highest averaged accuracy (0.37-0.41) in the simulated data set with a smaller number of QTL.
