The world wide increasing applications of nonlinear loads, mostly consisting of power
electronics devices, have made the power quality problems a vital issue than ever before …

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

In recent decades, and in order to develop applications covering several areas of
knowledge, different researchers have been performing hardware implementations around …

Abstract Artificial Neural Networks (ANNs) are inherently parallel architectures which
represent a natural fit for custom implementation on FPGAs. One important implementation …

Power fluctuations happens due to highly stochastic solar irradiance nature and this could
cause unwanted power quality issues in photovoltaic (PV) system. First predicting the PV …

This paper deals with design of the novel architecture of the CNN (cellular neural network)
for image processing. The main parameters were speed and area of the chip. Digital CNN …

Dedicated hardware implementations of artificial neural networks promise to provide faster,
lower‐power operation when compared to software implementations executing on …

This paper first discusses the relation between the human operator and the decentralized
autonomous robotic system. The operator relates himself to the system loosely in the …

Molecular dynamics (MD) simulations involve computations of forces between atoms and
the total energy of the chemical systems. The scientific community is dependent on high-end …

aportación de la tesis, se definen y ejemplifican las operaciones Alfa Generalizada, Sigma-
Alfa y Sigma-Beta. Acto seguido, en términos de las operaciones Alfa, Beta, Alfa …