Sentence examples for model formed from from inspiring English sources

The mesh model formed from nude and clothed body was aligned, superimposed and sectioned using Rapidform software.

An ANN is a biologically inspired computational model formed from hundreds of single units (artificial neurons) connected with coefficients (weights) that constitute the neural structure.

Perplexity is a monotonic function of the empirical conditional information H(C| M), and it can also be interpreted in terms of the average per-sample likelihood of a simple probability model formed from the table.

These results indicate that the combination of low-cost UAV and a digital camera may be used as a viable alternative for the collection of data with the goal to document surface structures and to form 3D models formed from this data.

The secondary models formed from blocks of influential plaque, diet and saliva biomarkers predicted baseline caries in the order of plaque bacteria > diet > saliva (Table 1).

A model selection was performed by enumerating all possible models formed from the ten candidate predictors, and the model with the lowest value of Bayesian Information Criteria (BIC) was chosen.

We then investigated secondary models formed from all influential biological (n = 18) or previous caries (n = 17) multimarkers alone or combined for ability to predict 2-year caries increment (Table 1, Fig. 2B).

We next compared secondary models formed from all influential biomarkers (n = 18 multimarkers), a five biomarker panel and a single lactobacilli marker, for ability to predict baseline caries (Table 1, Fig. 2A).

Two templates were used in the modeling of LipAMS8 in such a way that a model was formed from each template, as well as hybrid model which formed based on the best configuration of protein using the two templates chosen.

So, we skip from presenting such details here, and continue our model formulation only for Model A. Because of the objective function of this model is formed from inventory related costs such as the purchasing price, transportation costs, carrying and ordering costs, shrinkage cost, it is a minimizing type objective function.

The selection of variables will be done step by step from an initial model formed by variables with a bivariate association with dependent variables of p≤0.20.