Sentence examples for model by addressing from inspiring English sources

We demonstrate the validity of the model by addressing the issue of optimal transmission power assignment from two perspectives: numerically gained solutions of optimization problems versus results of computer simulations.  .

In view of this numerous studies have been carried out to enhance the EMQ model by addressing the issue of imperfect quality products produced and reworked (see So and Tang 1995; Shekarian et al. 2014; Taleizadeh et al. 2010c, 2011, 2013c; Pal et al. 2013; Hayek and Salameh 2001; Haji et al. 2008; Hafshejani et al. 2012; Chen 2013; Sarkar et al. 2014; Vishkaei et al. 2014).

Research on Motivational Interviewing (MI) [ 31] has introduced interpersonal predictors of behaviour change into this model by addressing the domains of importance and confidence within a relationship that can either hinder or promote motivation to change behaviour [ 32, 33].

Efforts to increase patient safety have enriched but also complicated the basic improvement model by addressing topics such as error and cognition, and have brought a deeper understanding of the importance of context and multilevel systems in the delivery of care.

Studies in populations in addition to French Caucasoids that have differing frequencies of susceptibility alleles or potentially protective alleles are necessary to refine the SE model by addressing questions such as the contribution to the SE of DRB1*0901 or *0411 that have RAE motifs and the role of ARAA motif alleles.

In this framework, we have assumed that the creativity studied in the domain of space organizing can be modelled by addressing both routine and non-routine (creative) cognitive functions.

The current work outlines an approach to close the loop between process planning and machine tool dynamic modeling by addressing the problem of energy efficiency across the process design and realization chains, from the process settings and pallet configuration to the machine tool design and usage phases.

Next we focus on the field-scale crop weed competition sub-model used in LUSO and explain how we tested the sensitivity of the overall LUSO model to variations in this sub-model, by addressing some particular management questions at the level of the farming system.

It moves beyond traditional approaches, resolving the major bottleneck on the road towards efficient systems biology-based modeling by addressing the inherent experimental and platform biases that confound microarray analyses.

We start the evaluation of the model settings by addressing the most prominent question of how many AS signals are we able to identify in the data.

The design of Temoa is intended to fill a unique niche within the energy modeling landscape by addressing two critical shortcomings associated with existing models: an inability to perform third party verification of published model results and the difficulty of conducting uncertainty analysis with large, complex models.