Currently, effective crowd management based on the information provided by crowd
monitoring systems is difficult as this information comes in at the moment adverse crowd …

Wireless user-mobility prediction has been investigated from various angles to improve
network performance. Student populations in campuses, pedestrian and vehicular …

User-centric wireless networks abound around us supported by a variety of networking
architectures such as infrastructured hotspots, ad-hoc or mesh architectures. Common to all …

Mobility prediction is a powerful tool for network operators to optimize network performance.
From cell level, if network operators know the cells to which the users will be connected in …

We present an efficient mobility-based proactive caching model for addressing niche mobile
demand, along with popularity-based and legacy caching model extensions. Opposite to …

While a large number of works concentrated on forecasting trajectories in the outdoor
environment, predicting the movement of users in indoor settings has attracted much more …

Wireless networks are key enablers of ubiquitous communication. With the evolution of
networking technologies and the need for these to inter-operate and dynamically adapt to …

BACKGROUND Consumers and other users of computer resources often wish to utilize
Such computer resources in a fast, convenient, and efficient manner. For example, such …

A semiautomatic iterative process for the detection of text baselines in historical handwritten
document images is presented. It relies on the use of Hidden Markov Models (HMM) to …

In this work, we study a novel mobility prediction algorithm based on past long-term and
short-term trajectories of users. In particular, we perceive the regularity of users' movements …