8 Result(s)
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Chapter and Conference Paper
3D-2D Stokes-Darcy Coupling for the Modelling of Seepage with an Application to Fluid-Structure Interaction with Contact
In this note we introduce a mixed dimensional Stokes-Darcy coupling where a d dimensional Stokes’ flow is coupled to a Darcy model on the d − 1 dimensional boundary of the domain. The porous layer introduces tang...
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Chapter and Conference Paper
Robin-Neumann Schemes for Incompressible Fluid-Structure Interaction
Mathematical problems involving the coupling of an incompressible viscous flow with an elastic structure appear in a large variety of engineering fields (see, e.g., [14, 17, 19–21]). This problem is considered...
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Chapter and Conference Paper
Numerical Simulation of the Electromechanical Activity of the Heart
We present numerical results obtained with a three-dimensional electromechanical model of the heart with a complete realistic anatomy. The electrical activity of the heart-torso domain is described by the bido...
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Chapter and Conference Paper
From Intracardiac Electrograms to Electrocardiograms: Models and Metamodels
We consider the problem of building a standard electrocardiogram (ECG) from the electrical potential provided by a pacemaker in a few points of the heart (electrogram). We use a 3D mathematical model of the he...
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Chapter and Conference Paper
Towards the Numerical Simulation of Electrocardiograms
We present preliminary results of the numerical simulation of electrocardiograms (ECG). We consider the bidomain equations to model the electrical activity of the heart and a Laplace equation for the torso. Th...
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Chapter and Conference Paper
Algorithmic Lateral Inhibition Formal Model for Real-Time Motion Detection
Recently, the use of the algorithmic lateral inhibition (ALI) method in motion detection has shown to be very effective. The promising results in terms of the goodness of the silhouettes detected and tracked a...
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Chapter and Conference Paper
Permanency Memories in Scene Depth Analysis
There are several strategies of how to retrieve depth information from a sequence of images, like depth from motion, depth from shading and depth from stereopsis. In this paper, we introduce a new method to re...
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Chapter and Conference Paper
A Model of Neural Inspiration for Local Accumulative Computation
This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge and discharge of a capacity o...
