Computer vision-based human action recognition is a highly active research area which has many application areas including security, surveillance, assisted living, and entertainment. In this thesis, a new system for computer ...

Software is in constant evolution and many approaches have been suggested to study software maintenance productivity. This master thesis aims to describe the process to design and implement a productivity measurement model ...

This thesis proposes an approach for automating the content negotiation of services as an alternative to price-oriented negotiation approaches. In content-oriented negotiation, the description of services rather than their ...

As we are introduced with the more complex, high technology devices, the need to smoothly integrate these new devices to our lives grows. In order to satisfy this need, a new kind of pervasive and ubiquitous intelligence, ...

In this thesis, our main focus is on cooperative sensing scheduling (CSS) for cognitive radio networks (CRNs). We first consider the joint scheduling of sensing and transmission for a multi-channel CRN with varying sensing ...

In this thesis, we focus on both internal and external sensing in Cognitive Radio (CR) networks. In internal sensing, individual CRs discover spectrum opportunities via spectrum sensing whereas in external sensing, an ...

The increasing availability of high bandwidth network connections with low-cost computing equipments has stimulated the use of service-oriented environments. Emerging service-oriented environments are expected to be open ...

Mobile phones are extensively used both in developed and developing countries. Richer countries tend to use it as a computer, whereas in developing countries it is a kind of replacement of inadequacy of infrastructure, or ...

In this thesis, credit scoring ability of several machine learning techniques were investigated such as multi-layer perceptron (MLP), radial basis function (RBF), knearest neighbor (k-NN) and support vector machines (SVM). ...

As machine learning gained immense popularity across a wide variety of domains in the last decade, it has become more important than ever to have fast and inexpensive ways to annotate vast amounts of data. With the emergence ...