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Grazing efficiency fitted to a quadratic regression and conversion efficiency a logarithmic model.
Displayed is also a logarithmic model function y = a + b*log(x), with regression coefficients a = − 0.4672 and b = 0.0645.
In this paper, a logarithmic model and Giner's differential model are compared in the process of simulating the stationary deep-bed drying of a product.
The model used in estimating branch biomass which is later used as a dependent variable in the test population, was a logarithmic model (Equation 2).
Molaei and Kavousi Kelashmi (2011) using the same technique, but with a One-Half Bound format, estimated the conservation value of the chandelier lily at $0.192 based on a linear model and $0.285 with a logarithmic model.
Instead, a polynomial second-order model fitted the best for aspen leaves while a logarithmic model fitted the best for hazel and mixed leaves, indicating that different models may be suitable for different kinds of leaf litter differing in quality and quantity.
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Because the calculation of the average of all standard deviations implies a high computational time, we propose a new logarithmic model that acts automatically depending only on the size of the image and the size of the mask used.
In addition to these, to develop a model that could fit the creep curve a new logarithmic model derived from first 100 preconditioning loading was developed instead of power law function model for first stage of permanent deformation curves.
Using a natural logarithmic model, our method first computes probabilistic light cones for TE and ATE curves.
DCT coefficients of an uncompressed image follow this law, and DCT coefficients of single compressed images can be fitted with a new logarithmic model using Eq. (2).
The responses of the different modules are then combined using non-linear fusion operators based on an improved logarithmic model of perception and human vision.
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