Sentence examples for work for prediction from inspiring English sources

Furthermore, an experimental correlation, developed in our previous work for prediction of wall-to-bed heat transfer coefficient was used in a parametric study to investigate the effects of design and operating parameters on heat transfer.

Next, we analyzed how the combination of STRATIFY and FRAX™ tools would work for prediction of fracture after falls.

The prediction results obtained by the predictive models satisfied the goals of our work for the prediction accuracy of 3D MAE of 1 mm for 1-second prediction horizon while the computational time was well shorter than the real treatment time.

Simulations are performed using an immersed boundary method, together with the methodology developed in our earlier work for accurate prediction of gas solid interactions at relatively low grid resolutions.

In this article, we revisit the DSD metric we designed in earlier work for function prediction in the ordinary undirected PPI network.

Using only one cut-off (e.g., according to Yuden's index (sensitivity + specificity - 1)[ 21, 22]) classifies subjects too broadly and thus does not work for this prediction score.

During our earlier work for the prediction of the 0 1 year and 0 2-year growth responses to GH treatment in prepubertal children with GHD and ISS, models were constructed based exclusively on data that could be obtained from before the start of GH treatment, heavily relying on auxological data at birth and during the first 2 years of life and parental heights [ 2].

The main driver is to develop efficient and accurate computational methodologies and working methods for prediction and analysis of unsteady effects on aerothermal performance (loading and efficiency) and aeroelasticity (blade vibration due to flutter and forced response) in turbomachinery.

Feature selection searches through all possible combinations of attributes in the data to find which subset works best for prediction by employing two tasks: search method and attribute evaluator.

The method improves on existing work for VAWT noise prediction and incorporates recently developed airfoil noise prediction models.

The approach works for shorter prediction horizons in comparison to single-step MPC, but requires to stay in open loop for longer periods of time.