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CA-ANN models which integrate Cellular Automata (CA) and Artificial Neural Networks (ANNs) for simulating land use change, usually urban and non-urban, predict the final land use type of a cell by the greatest similarity or probability after model parameters were defined in the training stage.
Each has its strengths and weaknesses; however, models which integrate population needs and workforce supply are of benefit from a public health perspective as they take account of the population [ 38, 40].
In our investigations we considered the most recent computational human models, which integrate existing biophysically detailed knowledge and datasets on the membrane kinetics of both hiPSC-CMs and hAdultV-CMs.
Interactions between chemicals can be described quantitatively with physiologically based pharmacokinetic (PBPK) models, which integrate these mechanic determinants and permit prediction of alterations in tissue dose for various exposure situations by computer simulation.
We were interested in differences in inference that could be made from the various models, which integrate information about the point estimates of treatment effects and the precision of their estimation but may vary in their assumptions.
CellDesigner (Funahashi et al., 2008) is a tool for graphically building biochemical pathway models, which integrate model representation by Systems Biology Markup Language (SBML; Hucka et al., 2003) with graphical representation by Systems Biology Graphical Notation (SBGN; Moodie et al., 2009).
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Our results demonstrated that the full models, which integrated all three classes of predictors, were superior to other models with significantly higher AUC values (p<0.001), and was consistent for all three turtle species.
The ecological networks are generated with the help of a landscape model (which integrate human activities) and with a wildlife dispersal model.
In order to better utilize the similarity information, we propose a model framework which integrates the enhancement into the whole community detection procedure.
In this study, a novel modeling framework, which integrates hydrological processes and water management, was established over a representative water limited metropolitan area to evaluate the impacts of water availability and water demand on reservoir storage and water supply reliability.
This chapter proposes a generic model, which integrates genetic algorithms with artificial neural networks, for modeling engineering performance measurement, and improvement on industrial construction projects.
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