Los problemas derivados de la disipación de energía en la computación secuencial, están haciendo que cada vez se popularice más el uso de máquinas y sistemas con mayor cantidad de núcleos de proceso, pasando desde pequeños ...

In this work a unified treatment of solid and fluid vibration problems is developed by means of the Finite-Difference Time-Domain (FDTD). The scheme here proposed introduces a scaling factor in the velocity fields that ...

Nowadays, the widespread use of mobile devices has raised serious cybersecurity challenges. Mobile services and applications use deep learning (DL) models for the modelling, classification and recognition of complex data, ...

The number and efficiency of seismic networks have steadily increase over time delivering large datasets to be analyzed for earthquake occurrence. Automatic tools for accurate earthquake detection are under emerging and ...

The development of tools for the automated identification of species will reduce the burden of routine identifications conducted by many biologists. The design of these tools is difficult because it depends on the proper ...

This paper proposes several activities that encourage self-learning in engineering courses. For each activity, the context and the pedagogical issues addressed are described emphasizing strengths and weaknesses. Specifically, ...

Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion detection systems (IDSs) adopted machine ...

En los actuales momentos nuestros estudiantes se encuentran bastante desmotivados a la hora de asistir a clase y de trabajar. Esto conduce a que sea necesario que el profesor introduzca cambios en sus clases que lo lleven ...

Cloud computing, Fog computing; Virtualization