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The simulation results show that the designed IWLSSVR-based soft sensor is more robust when the measured data have some impurities.
Difficulties in experimentally obtaining accurate flow quantities at high speeds and discrepancies of numerical approaches with measured data have been readily reported.
The measured data have been analyzed to study the effects of hands position, body mass, magnitude and type of vibration excitation, and feet position, on the biodynamic response expressed in terms of apparent mass.
Simulation results and imaging results of measured data have proved the efficiency and validity of this algorithm.
The measured data have been also exploited to tune some parameters included in a 3D RT model.
The measured data have been also exploited to tune some parameters of a 3D ray tracing model.
Similar(53)
Good agreement between our results and measured data has been obtained.
The performance of the measured data has been compared with ITU-R model, Kormanyos et al. and Paulson Gibbins.
It was found that random errors in measured data had minor impact on the model performance and sensitivity.
The identification of networks from measured data has been studied for many years in computer science and statistics.
Good agreement between the calculated and measured data has been achieved concerning temperature, relative humidity, total stress, and water intake.
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