Sentence examples for models for maximum from inspiring English sources

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Also, level of effectiveness factors were determined by conducting regression models for maximum adsorption efficiency.

In the former, the blur kernels are estimated from a single image using parametric models for maximum a-posteriori estimation and in the latter the ill-posed problems in deconvolution are reduced by estimating the blur kernels from multiple images.

ProTest [ 114] was used to predict optimal evolutionary models for maximum likelihood analysis using Akaike Information Criteria (AIC) [ 115].

To obtain appropriate substitution models for maximum likelihood analysis, each alignment was analysed with Modeltest 3.6 [ 57] using the Akaike information criterion in its AICc variant [ 58].

Factors included in the stepwise multiple regression models for maximum CCA-IMT (max-CCA-IMT) were age, gender, duration of diabetes, smoking status, body mass index, systolic blood pressure, baPWV, UAE, total leukocyte count, monocyte count, neutrophil count, leosinophil count and basophil count.

Tests of neutrality (for models that are based upon neutral stochastic assumptions, like distance, parsimony, and most standard models for maximum likelihood) and tests of saturation (extrapolation of branch lengths over lineages where sites have suffered multiple hits can quickly reach its limits) are critical.

Similar(54)

Possibly, such data should be part of the open source model for maximum benefit to the industry and the user base.  .

Specifically, the authors develop a powerful analytical model for maximum ratio combining, equal gain combining, selection combining, and switch and stay diversity schemes.

In this work, a differential evolution algorithm is used to optimize a developed genetic-programming-based RSOC model for maximum performance.

The intersection-of-asymptotes method, in conjunction with the fin analogy model, is employed to build the optimization model for maximum heat transfer rate.

This paper presents a data-driven design methodology able to generate a Takagi Sugeno Kang (TSK) fuzzy model for maximum energy extraction from variable speed wind turbines.

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