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The fully coupled description of blood flow and mass transport in
blood vessels requires extremely robust numerical methods. In order
to handle the heterogeneous coupling between blood flow and plasma filtration,
addressed by means of Navier-Stokes and Darcy's equations,
we need to develop a numerical scheme capable to deal with
extremely variable parameters, such as the blood viscosity and
Darcy's permeability of the arterial walls. In this paper, we describe a finite element method for...
This paper addresses the design of a state estimation and sensor fault detection, isolation and fault estimation observer for descriptor-linear parameter varying (D-LPV) systems. In contrast to where the scheduling functions depend on some measurable time varying state, the proposed method considers the scheduling function depending on an unmeasurable state vector. In order to isolate, detect and estimate sensor faults, an augmented system is constructed by considering faults to be auxiliary state...
Reconstruction of underlying physiological structures from a sequence of images is a long-standing problem which has been solved by factor analysis with a success. This paper tries to return to roots of the problem, to exploit the available findings and to propose an improved paradigm.
The paper discusses the problem of rule weight tuning in neuro-fuzzy systems with parameterized consequences in which rule weights and the activation of the rules are not interchangeable. Some heuristic methods of rule weight computation in neuro-fuzzy systems with a hierarchical input domain partition and parameterized consequences are proposed. Several heuristics with experimental results showing the advantage of their usage are presented.
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