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"Data-driven simulation of pedestrian dynamics is an incipient and promising approach for building reliable microscopic pedestrian models. We propose a methodology based on generalized regression neural networks, which d...

"Data-driven simulation of pedestrian dynamics is an incipient and promising approach for building reliable microscopic pedestrian models. We propose a methodology based on generalized regression neural networks, which d...

Computer simulations using Cellular Automata (CA) have been applied with considerable success in diferent scientific areas, such as chemistry, biochemistry, economy, physics, etc. In this work we use CA in order to speci...

In this paper we present a new mixed-variables symplectic tree code for planetesimal dynamics, which allows to use a very large number of particles in numerical simulations of planet disk interaction. Furthermore, we dis...

We study the Jupiter family comet (JFC) population assumed to come from the Scattered Disk and transferred to the Jupiter’s zone through gravitational interactions with the Jovian planets. We shall define as JFCs those...

"The global energy crisis necessitates the development of sustainable energy sources, with nuclear fusion representing a significant long-term opportunity for the future. However, the licensing process for facilities lik...

In this paper, a trajectory tracking control for a nonholonomic mobile robot subjected to uncertainties and disturbances in the kinematic model is proposed. An adaptive variable structure controller based on the sliding ...

"The stabilization of pores can be studied by different approaches such as simulations in silico or experimental procedures in vivo or in vitro. The energy to open a pore in a lipid membrane can be delivered by different...