Deep learning (DL) is a powerful technique which has achieved great success in many
applications. However, its usage in communication systems has not been well explored …

El amplio uso de las redes neuronales en el campo del procesamiento de imágenes, motiva
a realizar una revisión de 200 artículos donde se documentan algoritmos que utilizan …

Tower cranes are the most commonly used large-scale equipment on construction site.
Because workers can't always pay attention to the environment at the top of the head, it is …

Monte Carlo methods rely on sequences of random numbers to obtain solutions to many
problems in science and engineering. In this work, we evaluate the performance of different …

Cellular automata (CA) have proven to be excellent tools for the simulation of a wide variety
of phenomena in the natural world. They are ideal candidates for acceleration with modern …

Artificial Neural Networks (ANNs) have been useful for decades to the development of
Image Processing algorithms applied to several different fields, such as science …

Specialized accelerators have become prevalent in many mobile computing platforms for
their ability to perform certain tasks, such as image processing, at a lower power cost than a …

The CNN (Cellular Neural Network) is a powerful image processing architecture whose
hardware implementation is extremely fast. The lack of such hardware device in a …

In this paper, we propose fast deconvolution-based image super-resolution (SR) with
graphics processing unit (GPU)-accelerated computation. Recently, the deconvolution …

In this paper, we present a distributed computing system, called DCMARK, aimed at solving
partial differential equations at the basis of many investigation fields, such as solid state …