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A simple and efficient numerical method for solving the advection equation on the spherical surface is presented. To overcome the well-known pole problem related to the polar singularity of spherical
coordinates, the space discretization is performed on a geodesic grid derived by a uniform… |
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Abstract In this paper the Bi-Objective k-Length-Bounded Critical Disruption Path (BO-kLB-CDP) optimization problem is proposed, aimed at maximizing the interdiction effects provided on a network by removing a simple path connecting a given source and destination whose length does not exceed a… |
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We apply the Z-control approach to a generalized predator prey system and consider the specific case of indirect control of the prey population. We derive the associated Z-controlled model and investigate its properties from the point of view of the dynamical systems theory. The key role of the… |
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The Infrared Atmospheric Sounding Interferometer (IASI) has 8461 potential channels to be exploited for inversions of geophysical parameters. In this paper we analyse two different strategies for their reduction. The first one looks for suitable spectral ranges where the inverse problem is as… |
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This proof-of-concept (PoC) study presents a pipeline made by two blocks: 1. the identification of the network that generates interictal epileptic activity; and 2. the study of the time course of the electrical activity that it generates, called neurodynamics, and the study of its functional… |
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It is commonly agreed that the most challenging
problems in modern science and engineering involve
the concurrent and nonlinear interaction of multiple
phenomena, acting on a broad and disparate spectrum
of scales in space and time. It is also understood that
such phenomena lie at the interface… |
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The development of turbulence closure models, parametrizing the influence of small nonresolved scales on the dynamics of large resolved ones, is an outstanding theoretical challenge with vast applicative relevance. We present a closure, based on deep recur- rent neural networks, that quantitatively… |
