One of the most engaging challenges for mobile operators today is how to manage the
exponential data traffic increase. Mobile data offloading stands out as a promising and low …

Mobile Opportunistic Network (MON) is characterized by intermittent connectivity where
communication largely depends on the mobility pattern of the participating nodes. In MON, a …

This paper addresses the problem of improving the accuracy of an hypothesis output by a
learning algorithm in the distribution-free (PAC) learning model. A concept class is learnable …

In this paper, we develop a rigorous, unified framework based on ordinary differential
equations (ODEs) to study epidemic routing and its variations. These ODEs can be derived …

Successful electronic commerce sites allow businesses to create low-cost or more efficient
channels for product sales or to create new business opportunities. The success and …

We describe how to create with machine learning techniques a generative, speech
animation module. A human subject is first recorded using a videocamera as he/she utters a …

We study traces taken from UMass DieselNet, a Disruption-Tolerant Network consisting of
WiFi nodes attached to buses. As buses travel their routes, they encounter other buses and …

Realistic mobility models are important to understand the performance of routing protocols in
wireless ad hoc networks, especially when mobility-assisted routing schemes are employed …

This paper studies the multihop packet delivery delay in a low density vehicular ad hoc
network (VANET). We address a disrupted vehicle-to-infrastructure communication scenario …

Networks composed of mobile nodes inherently suffer from intermittent connections and
high delays. Performance can be improved by adding supporting infrastructure, including …