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Participatory approaches use the development of analytic technologies, such as models, to integrate multiple goals and perspectives across stakeholder communities.
A Kruskal Wallis test and a multi-objective optimization algorithm were then used to identify the most efficient weighted method and the optimal number of models to integrate.
In this way, the InterLog model represents one of the first models to integrate aspects of behaviour in terms of microscopic modelling.
One huge challenge is related with the development of mathematical models to integrate lethality to allow a continuous increase of process flexibility, without compromising its safety.
Here, we propose a hybrid approach based on network analysis tools and empirical habitat suitability models to integrate connectivity on decision-making.
Specially, most of existing methods only adopt shallow learning models to integrate various features of images for recognition limiting classification accuracy.
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Therefore, we adopt a Bayesian model to integrate the two saliency maps [36].
This paper presents a novel approach of inverse modelling to integrate fluid dynamic data into static model of reservoirs.
This paper addresses a multi-objective electric model to integrate the generation of thermal units considering heat and power dispatch.
Object-Fuzzy Concept Network (O-FCN) is a recent knowledge representation model to integrate Fuzzy Ontologies in Information Retrieval systems.
For addressing these issues, this work proposes a model named OmniPHR, a distributed model to integrate PHRs, for patients and healthcare providers use.
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