Sentence examples for corresponding root mean square from inspiring English sources

The corresponding root mean square (RMS) errors were 0.07 m and 3° when the combine harvester autonomously performed soybean harvesting at a speed of 0.97 m/s in the field.

As an example, the extrapolations for Database 6, Test 3 are presented in Figure 4, and the averaged values for Databases 1 6 are listed in Table 4. Table 4 Average maximum values derived with different signal-based models for Databases 1 6, using different fitting functions, and corresponding root mean square errors.

Since we are limited to the use of only the information available from Weintraub et al. [ 2], along with the corresponding root mean square errors (RMSE), we are unable to calculate predicted standard deviations for each age, education, and sex combination without the raw data for all subjects.

Corresponding root mean square error of prediction (RMSEP) statistics of area affected were between 7.9 and 15.4%, and were elevated, in part, because of the asymmetric distribution of browning in individual fruits.

The results for this case are shown in Figure 3, and the corresponding Root Mean Square Error (RMSE) values are shown in Table 2. Table 2 Root Mean Square Error (RMSE) values for the case where the active speakers are estimated, where the RMSE values are calculated from distance estimation in meters (m).

These algorithms provided a robust estimation of DIC and TA, with corresponding Root Mean Squared Errors of 7.66 and 5.09 µmol/kg, by accounting only for potential temperature, salinity, pressure, and nitrate concentration.

The same qualitative conclusions can be drawn by comparing the distribution of the superposed structures or the corresponding root mean-square deviations (RMSD, Fig. 3).

Overall, SDM did not induce unspecific structural changes as deduced from superposition with wild-type enzyme and corresponding root-mean square deviations of Cα atoms (Supplementary Table 2) and the the H-cluster was largely present for all CpI variants (Supplementary Table 5).

The corresponding root-mean-square (rms) roughnesses are 0.81, 1.36, 1.67, and 2.18 nm, respectively.

The data is analyzed and the vibration transmissibility is calculated using the corresponding root-mean-square values of acceleration.

The corresponding root-mean-square error of validation (RMSEV) and R values for each model are 2.50 and 0.94 for model 1, 0.32 and 0.95 for model 2, and 0.07 and 0.95 for model 3.