This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
Mobility traces of people and vehicles have been collected and published to assist the design and evaluation of mobile networks, such as large-scale urban sensing networks. Althou...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
Acontextuality of the mobile phone often leads to a caller’s uncertainty over a callee’s current state, which in turn often hampers mobile collaboration. We are interested in ...
This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...
This paper reports on different projects aimed at fostering inclusion in Portuguese elementary and high schools at national, regional and local level through ICT projects. Based o...