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Imprecise knowledge on the composition processing microstructure property correlation of titanium alloys combined with experimental data are used for developing rule based models for predicting the strength and elastic modulus of titanium alloys.
The logistic regression and neural network based models for predicting correctness of next read is presented in Section 5 and section 6 respectively.
The example we present in this article demonstrates the utility of physically based models for predicting concentrations of SVOCs as a function of time and space in residential environments.
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In this work, Artificial Neural Network (ANN) based model for predicting the solar radiation in Bangladesh has been developed.
A physically based model for predicting recrystallization microstructures and textures after hot deformation of aluminium is presented.
The aim of this study is to develop a comprehensive CFD based model for predicting hydrodynamic parameters in trickle-bed reactors under cold-flow conditions.
We used Matlab software (version 7.7.0.471, MathWorks, Inc, Natick, MA, USA) to establish SVM-based models for predicting the risk of postoperative distant organ metastasis and death in 5 years, respectively.
We examined whether self-reported employee health status data can improve the performance of administrative data-based models for predicting future high health costs, and develop a predictive model for predicting new high cost individuals.
We further built global and local network-based models for predicting new targets of the known GPCR ligands.
Prospective assessment of dosimetric/physiologic-based models for predicting radiation pneumonitis.
(2) Minne et al. (2008) Evaluation of SOFA-based models for predicting mortality in the ICU: A systematic review.
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