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Automatic face interpretation using fast 3D illumination-based AAM models
(Elsevier Inc., 2011)
Understanding transmission and control of the pork tapeworm with CystiAgent: A spatially explicit agent-based model
(BioMed Central, 2020)
Background: The pork tapeworm, Taenia solium, is a serious public health problem in rural low-resource areas of Latin America, Africa and Asia, where the associated conditions of nuerocysticercosis (NCC) and porcine ...
A general overview of formal languages for individual-based modelling of ecosystems
(Elsevier BV, 2019-04-01)
Various formal languages have been proposed in the literature for the individual-based modelling of ecological systems. These languages differ in their treatment of time and space. Each modelling language offers a distinct ...
A general overview of formal languages for individual-based modelling of ecosystems
(Elsevier BV, 2019-04-01)
Various formal languages have been proposed in the literature for the individual-based modelling of ecological systems. These languages differ in their treatment of time and space. Each modelling language offers a distinct ...
The Bogdanov-Takens Normal Form: A Minimal Model for Single Neuron Dynamics
(MDPI AG, 2015)
Conductance-based (CB) models are a class of high dimensional dynamical systems derived from biophysical principles to describe in detail the electrical dynamics of single neurons. Despite the high dimensionality of these ...
Development of a dynamic framework to explain population patterns of leisure-time physical activity through agent-based modeling
(BioMed Central, 2017)
Abstract
Despite the increasing body of evidences on the factors influencing leisure-time physical activity, our understanding of the mechanisms and interactions that lead to the formation and evolution of ...
EM-based design optimization of RF and microwave circuits using functional surrogate models
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2013)
Transformed generalized linear models
(ELSEVIER SCIENCE BV, 2009)
The estimation of data transformation is very useful to yield response variables satisfying closely a normal linear model, Generalized linear models enable the fitting of models to a wide range of data types. These models ...