Sentence examples for model for prioritization from inspiring English sources

This paper aims to generate a general list of barriers to project risk management by referring the various barriers identified in the literature, analyse the interaction among the barriers for risk management, develop the interpretive structural model for prioritization of barriers affecting risk management in projects, and suggest strategies for overcoming such barriers.

An example of a model for prioritization of chemicals for biomonitoring is the recently awarded state biomonitoring program planning grant by the CDC to the state of New Hampshire.

The Swedish National Guidelines is the NBHW's primary way of working with prioritizations, and of implementing the national model for prioritizations established by the parliament in 199714,15,16.

Morphometric analysis is one of the significant models for prioritization of sub-watersheds even without soil map and land use/land cover map.

The well-characterized chemical groups are important because these allow us to develop and validate predictive models for prioritization of the remaining, largely uncharacterized chemicals.

This paper proposes a linguistic decision support model for traffic prioritization in networking, which uses a group decision making process that gathers user's needs in order to improve organizational productivity.

The second component is a novel Analytic Hierarchy Process (AHP) model for the prioritization of the dynamic routes, which takes into account a set of quantitative and qualitative attributes important for MAS operations.

The statistical tests mentioned above do not explicitly measure class separation between hits and non-hits based on their prediction values, which is a key outcome for investigating the predictive accuracy of models for variant prioritization.

Based on the observed strong signature of potential regulatory variants and HTS data availability, we focus on the analysis of breast and lung cancer GWAS as models for the prioritization of non-coding functional variants.

Through polygenic modeling we identified total cholesterol and T2D as key traits and proceeded with an mt-PheWAS to determine if the use of polygenic modeling for phenotype prioritization is robust.

Kucukaltan et al. [19] present a decision support model for identification and prioritization of KPIs in the logistics industry.