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 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 ...

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 use of technology to improve the process of teaching and learning is a well-known practice, young people have shown increasing interest in the use of computers and mobile devices as support classes. To encourage this ...

Inability to identify partitions of different sizes and shapes is a fundamental limitation of any clustering algorithm, especially when different regions of the search space contain clusters with varied characteristics. ...

High Availability is the most important aspect when discussing resiliency over telecommunications systems in the context of the adoption of the cloud computing paradigm, a big challenge for telecommunications service ...

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 ...