Sentence examples for modeling methods used from inspiring English sources
In this context, a comprehensive literature review of uncertainty modeling methods used for modeling uncertain parameters related to renewable DGs as well as methodologies used for the planning and operation of DGs integration into distribution network.
Various mathematical modeling methods used for dynamic phenomenon of drilling in PMCs and conventional materials have been discussed.
This chapter presents the details of discretization or modeling methods used to represent a continuous region or body using a finite number of smaller pieces or elements.
This paper presents modeling methods used to estimate exposure distributions of chlorpyrifos and diazinon in the residential microenvironment using the database generated in Arizona (NHEXAS-AZ).
In the era of integrative structural biology, one way of increasing the accuracy of modeling methods used to predict the structure of biomolecular complexes is to include as much experimental or predictive information as possible in the process.
It determines the modeling methods used and the effort required to perform the evaluation.
Also, this paper is characterized by automatic modeling methods using a computer graphic user interface and application examples on the netting and fishing gear system behaviors.
Recently, along with the improvements of geometry modeling methods using sketch-based interface, there have been a lot of developments in research about generating surface model from 3D curves.
Template-based modeling methods use the known structures (templates) of the proteins that are homologous or analogous to a target protein to construct structural models for the target (Bowie et al., 1991; Jones, et al., 1992; Zhang, 2008a, b).
Muscle force estimates are important for full understanding of the musculoskeletal system and EMG is a modeling method used to estimate muscle force.
The modeling method used in this study can be effectively and practically applied to real-time error compensation because it includes the advantages of simple application, reduced computational time, sufficient model accuracy, and model robustnesss.
