Along with an integration of wearable devices, wireless communications and big data in the
smart health, biomedical data is collected referring to multiple associated patients during …

Recently proposed systems aim at achieving privacy using locality-sensitive hashing. We
show how these approaches fail by presenting attacks against two such systems: Google's …

With the proliferation of the mobile networks and location-based services, huge volume of
user trajectories are collected to analyze the similarity among users and further unveil …

Advances in wireless communication technology have allowed for the collection of large-
scale human motion trajectories by recording the appearance of mobile devices within the …

Trajectory representation learning studies the problem of embedding trajectories into low-
dimensional vectors, while preserving mutual similarity for the convenience of downstream …

We consider the problem of finding large scale mobility patterns. A common challenge in
mobility tracking systems is that large quantity of data is spread out spatially and temporally …

The mobile edge computing is an attractive system paradigm to perform the local data
processing and interactions at the edge of networks. The mobile edge computing enabled …

Within network science and network theory, there has been a lot of success in the analysis of
complex networks in a static setting or at a certain snapshot. The analysis of network …

The mobile and wireless community has brought a significant growth of location-aware
devices including smart phones, connected vehicles and IoT devices. The combination of …

Disclosed are systems, methods, and computer-readable media for determining a
distribution of various visiting frequencies among devices/elements detected at a site. A …