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For doing it, we use the linear regression in MATLAB to obtain the slope and offset values for each AGNR with various dimer numbers.
We separate the data of Intracoded MB's (marked by circles) and Intercoded MB's (marked by triangles) and then use the linear regression to fit these two groups of points.
By exploiting the intermittent strong GPS signals, we use the linear regression to build a prediction model from the trace estimated from inertial sensors and the trace computed from GPS.
We observed that there is a strong dependence between the AS size and the AS resolution at which the AS is best identified by our algorithm, so that we shall use the linear regression in Figure 3 to approximate the best resolution for each AS, t̃.
Not considering the lower load value data points, related to 8.5 MPa load, for which the joints are still being tested, it is possible to use the linear regression technique adapted to the logarithm to determine the n 1 and k 1 coefficients from Equation 3.
17, 19, 20 For the experiments presented in this paper, we simulate such high-quality data and use the linear regression method.
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Few missing data were estimated using the linear regression method [18].
Then objective functions will be generated using the Linear Regression Method.
The correlation between score and healing time was calculated using the linear regression test and Spearman's correlation coefficient.
a. Automated result for lava level (hourly average), converted to absolute elevation using the linear regression shown in Fig. 4.
First, we generated three prediction models using the training set, one using the linear regression method, one using the RPART method, and one using the NNR method.
More suggestions(15)
use the linear system
use the linear minimum
use the linear strain
use the linear tetrahedron
use the linear term
use the linear discriminant
use the linear probability
use the lasso regression
use the linear assumption
use the linear scaling
use the linear relation
use the linear kernel
use the linear motor
use the linear approximation
use the linear order
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