One of the biggest challenges in training supervised models is the lack of amount of labeled
data for training the model and facing overfitting and underfitting problems. One of the …

The main objective of the work is to prevent hazardous situations for workers in automated
and robotized agile-production environments by means of a new open-source FIWARE …

The main objective of this research is to investigate new hybrid neuro-symbolic algorithms
for the construction of an open-source Deep Symbolic Learning framework that allows the …

La inteligencia artificial (IA), el aprendizaje profundo y la inteligencia de datos permanecen
incrementando en el ámbito de la industria 4.0. En el contexto de la discapacidad visual, las …

Distributed computing has been gaining a continually increasing interest over the past years
in research and industrial communities. One of the significant objectives of distributed …

On most sheep dairy farms, it is a common practice to separate lambs from mothers shortly
after birth, being raised by artificial lactation, ie, automatic lamb feeders. This work will build …

Distributed computing has been gaining a continually increasing interest over the past years
in research and industrial communities. One of the significant objectives of distributed …

Artificial Intelligence of Things (AIoT) is a relatively new concept that involves the merging of
Artificial Intelligence (AI) with the Internet of Things (IoT). It has emerged from the realization …

Last mile delivery is one of the most complex processes in the whole logistics process. This
is because it involves many uncertainties, such as weather conditions, road conditions …

The concept of smart cities puts the citizen at the center of all processes. It is the citizen who
decides what kind of city they live in. Their opinions and attitudes towards technologies and …