Systematic evaluation and estimation of growth trajectories in twins require ultrasound measurements across gestation that are performed in controlled clinical settings.
Evaluation and estimation of adsorption data with Langmuir and Freundlich isotherm well justify the results based on their correlation coefficient and error analysis confirm that Langmuir model is good model with adsorption capacity of 109.17 and 115.34 mg g−1 in single system and 95.69 and 102.99 mg g−1 in binary system for MB and CV, respectively.
According to these results, developing a nonlinear inter-dependence approximation among parameters for variable selection and also a non-parametric predictive model by soft computing methods such as RF can potentially be further employed as a reliable and accurate technique for evaluation and estimation of complex relationships in rock mechanics.
The evaluation and estimation of equilibrium data from traditional isotherm models display that the Langmuir model indicated the best fit to the equilibrium data with maximum adsorption capacity of 21.230, 20.242 and 18.621 mg g−1, for FG, EY and QY, respectively, while the adsorption rate efficiently follows the pseudo-second-order model.
However, the reliability evaluation and estimation approaches proposed in [14] are based on a very restrictive definition of network functionality.
Permeability and porosity of reservoir rock are considered as the most important parameters for evaluation and estimation of reservoir (Shedid and Reyadh 2002).
Evaluation and estimation of the properties of products that can be expected from standing trees is important to tree breeders, growers and wood processors alike.
Essentially, the proposal is to follow the PF analysis loop (re-sampling, propagation, evaluation, and estimation) with some opportune modifications to ensure the convergence of the algorithm.
Risk assessment, the core of risk science, is a comprehensive evaluation and estimation of the occurrence of risks and losses (Zhang 2013), and constitutes an important research area in the field of management and decision making.
Hence, an accurate evaluation and estimation on appropriate cement strength becomes considerably important to reduce cost expenditure, particularly at the early ages when the physical and mechanical properties of well cement significantly change with times.
