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

Opportunistic networks (OppNets) are modern types of intermittently connected networks in
which mobile users communicate with each other via their short-range devices to share data …

Feature generation is one of the challenging aspects of machine learning. We present
ExploreKit, a framework for automated feature generation. ExploreKit generates a large set …

The generation of realistic spatio-temporal trajectories of human mobility is of fundamental
importance in a wide range of applications, such as the developing of protocols for mobile …

Opportunistic networks are a class of mobile ad hoc networks (MANETs) where contacts
between mobile nodes occur unpredictably and where a complete end-to-end path between …

Landform recognition is one of the most significant aspects of geomorphology research,
which is the essential tool for landform classification and understanding geomorphological …

Realistic mobility models are crucial for the simulation of Delay Tolerant and Opportunistic
Networks. The long standing benchmark of reproducing realistic pairwise statistics (eg …

There is a burst of work on human mobility and encounter networks. However, the
connection between these two important fields just begun recently. It is clear that both are …

Human Mobility has attracted attentions from different fields of studies such as epidemic
modeling, traffic engineering, traffic prediction and urban planning. In this survey we review …

Epidemic spreading is one of the most popular bio-inspired principles, which has made its
way into computer networking. This principle naturally applies to Opportunistic or Delay …