Traditional occupant behavior modeling has been studied at the building level, and it has
become an important factor in the investigation of building energy consumption. However …

Fog computing refers to cloud computing development to the edge of a corporate network.
Fog computing, as a promising computing paradigm, facilitates computing, storing and …

The vast amounts of mobile communication data collected by mobile operators can provide
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …

Prediction of individual mobility is crucial in human mobility related applications. Whereas,
existing research on individual mobility prediction mainly focuses on next location prediction …

One of the fundamental goals of mobile networks is to enable uninterrupted access to
wireless services without compromising the expected quality of service (QoS). This paper …

With the rapid development of the mobile communication technology, mobile trajectories of
humans are massively collected by Internet service providers (ISPs) and application service …

Human mobility is a multidisciplinary field of physics and computer science and has drawn a
lot of attentions in recent years. Some representative models and prediction approaches …

Urban human mobility prediction is forecasting how people move in cities. It is crucial for
many smart city applications including route optimization, preparing for dramatic shifts in …

With the development of intelligent transportation systems, clustering methods are now
being adopted for traffic pattern recognition to discover the time-varying laws in road …

Accurate human mobility prediction is important for many applications in wireless networks,
including intelligent content caching and prefetching, network optimization, etc. However …