Sentence examples for modeling method presented from inspiring English sources

The analytical modeling method presented here provides a fast and accurate technique for representing the flow field resulting from operation of HFTW systems, and represents a tool that can be useful in designing in situ groundwater contamination treatment systems.

In the paper, we report on the design of the modeling language, on its integration with the enterprise modeling method, present the language specification, and discuss language applications in the context of the assessment of an internal control system.

Then, a significantly improved and modified version of Maximum Correlation Modeling (MCM) method presented by Friman [ 10] to detect interesting brain region's activities is described.

Based on an improved statistical model, the method presented in [11] can detect either block-aligned or block-nonaligned compressed tampered regions.

Karjee and Jamadagni[15] analyzed the estimation accuracy of clustered WSNs using the same correlation model and method presented by Vuran et al.[9].

The obtained results are compared with the analytical results in the existing literature, they are comparatively accordant, which means that the model and method presented in this paper are correct, and the obtained results are reliable.

For ARDS patients, the model-based method presented in this paper provides a unique, non-invasive method to select optimal patient-specific PEEP.

The values of an evolving character were simulated under the Brownian motion model and values at internal nodes were reconstructed based on values at the tips only, first by fitting a Brownian motion model and second by fitting a stable model using the method presented later in this paper.

However, from the point of view of model calibration, the method presented here was able to successfully solve the inverse problem with better performance than other state of the art methods.

A partitioned seam weld modeling method was presented according to the microshear test.

A stochastic modeling method is presented for the analysis of nucleation and growth in a thin layer between two interfaces.