The phrase "accuracy of this study" is correct and usable in written English.
It can be used when discussing the reliability or precision of the findings or results of a particular study.
Example: "The accuracy of this study is crucial for validating the proposed hypothesis."
Alternatives: "reliability of this research" or "precision of this analysis".
To verify the validity and the accuracy of this study, the numerical solutions are presented and compared with analytical solutions, the results from available references and the FE analysis using the thin-walled Hermitian beam elements.
In order to verify the accuracy of this study, the numerical solutions are presented and compared with the finite element solutions using the Hermitian beam elements and ABAQUS's shell elements.
To demonstrate the validity and the accuracy of this study, the numerical solutions are presented and compared with the analytical solutions and the finite element results using the Hermitian beam elements and ABAQUS's shell element.
Finally, in order to demonstrate the validity and the accuracy of this study, the spatially coupled natural frequencies and buckling loads are evaluated and compared with analytical solutions or results analyzed by thin-walled beam elements and ABAQUS's shell elements.
In order to demonstrate the validity and the accuracy of this study, the spatially coupled natural frequencies of non-symmetric thin-walled curved beams subjected to uniform compressive and tensile forces are evaluated and compared with analytical and finite element solutions using Hermitian curved beam elements or ABAQUS's shell element.
However, the accuracy of this study results depend on earthquake catalogue data and percent influence weight determination.
This can be suspected from the high accuracy of 0.8 for the offspring of 1,000 training individuals in the simulations by [ 42] compared to the accuracies of this study.
In line with our approach, rather than attest to the accuracy of accounts, this study has instead sought to consider variations in experiences of involvement.
In order to overcome these drawbacks and improve the accuracy of forecasting, this study develops a novel approach referred to as "forward regression on the quadratic kernel support vector machine" (QKSVM-FR) for building a quadratic regression model using forward regression to select the important variables for forecasting the global horizontal radiation in the Tibet Autonomous Region.
To improve the accuracy of segmentation, this study aimed to propose a novel segmentation method for coronary arteries to allow for the automatic and accurate detection of coronary pathologies.
All of this could enhance the accuracy of the study.
