A crucial aspect for selecting optimal areas for commercial advertising is the probability with which that publicity will be seen. This paper presents a method based on top-view camera measurement, where the probability ...

In the current study, we tested the hypothesis that Mild Cognitive Impairment (MCI) patients can be identified based on the analysis of vergence eye movements and pupil responses. We recorded vergence and pupil responses ...

La visió estereoscòpica és la capacitat de jutjar la distància relativa entre els objectes i l’observador, fent servir la visió binocular i les disparitats binoculars existents entre els dos ulls. Des del seu descobriment ...

Face recognition systems are nowadays being used in a variety of settings, including surveillance systems and human-computer interactions. Different approaches have been used for face recognition throughout the years, but ...

This contribution presents a deep learning method for the segmentation of prostate zones in MRI images based on U-Net using additive and feature pyramid attention modules, which can improve the workflow of prostate cancer ...

La Neuroeducació és un camp d'investigació del cervell centrat a conèixer i entendre com aprèn el cervell per tal de poder millorar els processos d'ensenyament, apropant-los a potenciar les connexions neurals i enfortint-les ...

The sustainable business must develop the fundamental technology for strategies that ensure people are interested in the information and contents for long periods of time. To contributes to this goal, this study was that ...

Many engineering professors teach their classes without having received previous training in psycho-pedagogy and neuroscience. While a few of them have received some form of pedagogical training during their academic career, ...

Kernel methods (KM) and Artificial Neural Networks (ANN) are two of the main families of methods that are more widely spread nowadays in the world of Machine Learning, being the Support Vector Machine (SVM) and the Deep ...