Abstract Unmanned Aerial Vehicles (UAVs) have been extensively utilized to provide
wireless connectivity in rural and under-developed areas, enhance network capacity and …

With the proliferation of connected vehicles, new coverage technologies and colossal
bandwidth availability, the quality of service and experience in mobile computing play an …

Periodic pattern mining models analyze patterns which occur periodically in a time-series
database, such as sensor readings of smartphones and/or Internet of Things devices. The …

In this systematic literature review an overview of the recent developments in the field of
Next Place Prediction is given. Next Place Prediction in this work refers to the prediction of …

User intention which often changes dynamically is considered to be an important factor for
modeling users in the design of recommendation systems. Recent studies are starting to …

Individual's location has play a very important role in mobile network, predicting user's next
location in advance has a great effect on optimize network resource and improve user …

The relative motion of moving objects is an essential research topic in geographical
information science (GIScience), which supports the innovation of geodatabases, spatial …

Intelligent radio access networks (RANs) have been seen as a promising paradigm aiming
to better satisfy diverse application demands and support various service scenarios. In this …

Activity pattern prediction is a critical part of urban computing, urban planning, intelligent
transportation, and so on. Based on a dataset with more than 10 million GPS trajectory …

With location-based social network (LBSN) flourishing, location check-in records offer us
sufficient information resource to do relative mining. Among locations visited by a user, those …