Exact(22)
The obtained results are valid with significant accuracy.
Odour concentration of unknown samples were able to be predicted with significant accuracy.
Michigan State Professor Stephen Hsu argues convincingly that we'll be able to predict people's IQs from their genomes with significant accuracy within a decade.
As expected, KNN strategy is able to determine the target of small molecules with significant accuracy and robustness in internal cross validation.
However, none of the existing solutions consider seamless localization and tracking of individuals in both indoor and outdoor stretches with significant accuracy.
Instead, it is far more interesting to use a mobile sampling scheme that would collect samples at few judiciously selected locations, in a way that would enable it to gain enough information about the field to be able to infer, with significant accuracy, the value of the parameter of interest at the unsampled locations.
Similar(38)
FL model results are compared with empirical Van der Meer model in addition to the artificial neural network (ANN) model of Mase et al. It is shown that one can forecast the stability number of conventional rubble mound structures with more significant accuracy by the FL approach than previous models.
In contrast, BLUP-D predicted a breeding value with a significant accuracy when the reference and test data sets shared a distant relationship and accuracy reduced to close to zero when animals in the reference and test data sets were unrelated.
Despite the intrinsic limitations of the used aerodynamic theories, the proposed methodology appears valid for aeroelastic and vibrational analyses of several structures by ensuring a significant accuracy with a low computational cost.
One study looking at 4041 patients with depression, found that by using a machine learning approach, they could predict response to the antidepressant citalopram with a highly statistically significant accuracy of 64.6%.
Our prediction algorithm based on epigenetic variance (EVORA Figuree 3A) could predict, with low but statistically significant accuracy (AUC = 0.66, P < 0.05), prospective CIN2+ status in blind test sets.
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