To exploit the power of latent growth curve analysis we will first develop and test theoretically derived and empirically based models designed to link variables using structural equation modelling methods at one point in time.
This paper describes the incorporation of a Bayesian learning algorithm into an agent-based model designed to simulate stakeholders' negotiation when evaluating scenarios of land development.
The present contribution deals with the development of a laminate-based model designed to study the single and polycrystalline tetragonal ferroelectric material behaviour.
We present here the Consumption Italy (CITA) model, an empirically grounded agent-based model designed to represent household consumption in Italy and to estimate the related greenhouse gas emissions under different environmental policy scenarios.
Here, I present results from an agent-based model designed to answer two qualitative questions: are clustered nests more or less successful than dispersed nests, and how does that relative benefit vary depending on predator behavior?
In this paper, we propose a lightweight tree-based model designed to achieve self-defined, proxy-enabled and group-oriented access control (hereafter referred to as SeGoAC) for file storage access control in mobile cloud computing.
In order to simulate forest growth response to pre-commercial thinning (PCT), TRIPLEX1.0 – a process-based model designed to predict forest growth as well as carbon (C) and nitrogen (N) dynamics – was modified and improved to also simulate managed forest ecosystem thinning practices.
Organic loading rate, variation in organic loading rate, and the presence of filamentous microorganisms in the activated sludge system, used as a feed source for the digester, have been selected as the inputs of a knowledge-based model designed to provide as output the risk of foaming in an anaerobic digester.
Our study had two aims: 1) to examine the added value of self-reported health status data in an administrative data-based model designed to identify individuals at risk for having high future health care costs and 2) to develop models that could predict which groups of individuals are at risk for being high cost in the future.
This method is based on a simplified model designed to take the condition of the concrete at failure into account.
To this end, we present VisiNav, a system based on an interaction model designed to easily search and navigate large amounts of web data (the current system contains over 18.5m RDF triples aggregated from 70k sources).
