In the past 20 years, computer solutions has been used as a support tool for children with Autism Spectrum Disorder (ASD), as well for their parents, therapists and educators. Those solutions may be helpful to work social ...

The companies today are looking for ways to expand their competitive advantages, optimizing their production, and in this context, they found solutions in activities of production scheduling. The production scheduling of ...

The advent of multicore processors represented a major advance in the performance of parallel computing. Embedded systems following this trend have improved the computing power available for real-time systems, enabling the ...

Multiword Expressions (MWEs) are a current challenge for Natural Language Processing field and there are different proposed automatic methods to treat and discovery them. We propose in this work two new bilingual discover ...

Nowadays, the amount of biological data available by universities, hospitals and research centers has increased exponentially due the use of bioinformatics, with the development of methods and advanced computational tools, ...

The segmentation of the hippocampus in Magnetic Resonance images is an important procedure in the Alzheimer’s disease early diagnostic aid. The neuroradiologist frequently needs, in addition to the atrophy analysis, to ...

Machine Learning (ML) can be seen as research area within the Artificial Intelligence (AI) that aims to develop computer programs that can evolve with new experiences. The main ML purpose is the search for methods and ...

Deep learning techniques have been studied extensively in the last years, due to its good results related to essential tasks on a large range of applications, such as speech and face recognition, as well as objects ...

Nowadays, with ICTs permeating social relations and work, it is necessary to understand how relationships influence the socially established professional dynamics in the workspace. One should also consider that the impact ...

In this dissertation we present techniques for filtering of tomographic projections with Poisson noise. For the filtering of the tomogram projections we use variations of three filtering techniques: Bayesian estimation, ...