The recent evolution of the Internet of Things into a cyber-physical reality has spawned
various challenges from a data management perspective. In addition, IoT platform designers …

While UbiComp research has steadily improved the performance of localisation systems, the
analysis of such datasets remains largely unaddressed. In this paper, we present a tool to …

We tackle the issue of measuring and analyzing the visitors' dynamics in crowded museums.
We propose an IoT-based system--supported by artificial intelligence models--to reconstruct …

The popularization of GPS has generated a massive amount of geographic data organized
in trajectories. Trajectories are ordered sequences of geographic points that represent a …

The quality of a location-based social network (LBSN) is mainly related to the granularity of
information on the users' location. When LBSN is built using stay points, it presents much …

Abstract The Internet of Things (IoT) has recently been applied in the domain of cultural
exhibition enabling the cultural sites to provide more personal and proactive experiences to …

The main challenge of building Location-Based Social Network (LBSN) using stay points is
the definition of local-vertices. Stay points are extracted from a GPS log and indicate that a …

The growing number of smart technologies for ubiquitous sensing and interaction of
computer systems and the physical environment offer many opportunities for more efficient …

The increasing availability of indoor and outdoor location sensors raises the interest for
understanding the mobility in different places, eg, in museums, train stations, or cities. One of …

The rapid development in IoT infrastructure for collecting Spatio-temporal data calls for
various machine learning model evolution. Several models can be used on data streams to …