Privacy is the cause of an important concern in the context of mobile applications, once these applications manipulate a countless number of the users’ confidential and personal information through their mobile devices. ...

This work proposes both a study and a development of an algorithm for super-resolution of digital images using projections onto convex sets. The method is based on a classic algorithm for spatial super-resolution which ...

The rapid popularization of smartphones has contributed to the growth of SMS usage as an alternative way of communication. The increasing number of users, along with the trust they inherently have in their devices, makes ...

The super-resolution aims to obtain a higher resolution image, using information from one or more low resolution images. There are different applications where super-resolution may be used, such as medical and forensic ...

The easy access to mobile and social networking is changing the way people communicate; however, the deaf person is segregated in some of these media. Although there are many designers working with some recommendations, ...

The APIs are becoming increasingly more popular and they play a important role in software development. However, many APIs are large and complex that makes them hard to learn. Among avaliable resources to learn to use an ...

The Multipath TCP (MPTCP) protocol allows applications to better explore the network resources available to multi-connected devices such as mobile phones or multi-homed systems. Here, some advantages are envisioned: bandwidth ...

No clustering algorithm is guaranteed to find actual groups in any dataset. To deal with this problem, many techniques apply various clustering algorithms to a dataset, generating a set of partitions and assessing them to ...

Unsupervised data clustering is not a trivial process, as no previous knowledge is available and real data is often complex and multi-faceted. To make matters worse, traditionally, clustering aims to describe the data ...

The goal of this study is to investigate the characteristics of the new data clustering approaches, carrying out a comparative study of clustering techniques that combine or select multiple solutions, analyzing these latest ...