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A methodology for combining multi-parametric programming and NCO tracking is presented in the case of linear dynamic systems.
This paper proposes a methodology for combining extrinsic and intrinsic attributes in consumer testing of food products.
Bilan Carbone functions through Multi-Criteria Decision Analysis (MCDA) which provides a systematic methodology for combining inputs with cost/benefit information and stakeholder views, to rank policy alternatives.
This paper discusses a methodology for combining the extreme loads, and proposes a simple formulation suitable for use in reliability analysis.
In this study, we proposed a generic methodology for combining high-dimensional spatial data to identify and visualize the hidden spatial patterns in a single-layer geo-map.
A Bayesian methodology for combining this information into a probability density function of the outcome of the process that explicitly accounts for reliability of the data sources is developed.
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In this study, we have presented and demonstrated the value of a generic and robust methodology for combined parameter fitting and analysis of model mechanisms.
A number of authors have attempted to circumvent these difficulties either through methodologies for combining data from repeated cross-sectional surveys (Gustafsson 2013) or through linking different surveys in order to follow specific cohorts (Kaplan 2009; Kaplan and McCarty 2013; Chmielewski 2015).
Development of efficient analytic methodologies for combining microarray results is a major challenge in gene expression analysis.
This paper uses a new methodology developed for combining non-destructive characterisation and numerical analysis techniques to automatically create a series of models with controlled wrinkle geometry.
From another perspective, AHP explicitly deals with a hierarchy structure and is essentially a theory of measurement and decision making methodology used for combining or synthesizing quantitative as well as qualitative criteria.
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