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Based on the experimentally obtained results a strength predicting models has also been proposed for GGBFS based concrete.
Furthermore, the wavelet coupled multilayer perceptron neural network (MLPNN) models has also been found superior relative to the simple neural network models which are not coupled with wavelet.
A comparison of the performances of the hybrid technique with conventional linear regression and artificial neural network models has also been reported.
Indeed research around deregulated activity of this enzyme has proven its role in tumor progression, while the beneficial effects of c-Src inhibitors in several pathological models has also been demonstrated.
The adequacy of the developed mathematical models has also been tested by the analysis of variance test.
The propensity to set up and use spatial analogical models has also been noted in established sign languages (Emmorey, 2014).
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Computational models have also been developed to assess HA-receptor binding on a small scale.
Prices for some other models have also been falling.
The latest cordless models have also adopted features from their mobile cousins.
Some analytical studies and CFD models have also been mentioned.
Facebook did not secure confirmation that the models had also been deleted until April 2017.
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