Large volumes of mobility data is collected in various application domains. Enterprise
applications are designed on the notion of centralised data control where the proprietary of …

Epidemics of infectious diseases, such as the one caused by the rapid spread of the
coronavirus disease 2019 (COVID-19), have tested the world's more advanced health …

Conventional techniques of epidemic modeling are based on compartmental models, where
population groups are transitioning from one compartment to another-for example, S, I, or …

Trajectory user linking (TUL) is a problem in trajectory classification that links anonymous
trajectories to the users who generated them. TUL has various uses such as identity …

Sophisticated location and tracking technologies have led to the generation of vast amounts
of trajectory data. Of interest is constructing a small set of basic building blocks that can …

In this paper, we propose a new way of augmenting our environment with information
without making the user carry any devices. We propose the use of video projection to display …

The relationship between human mobility and the spread of an infectious disease has been
well documented. At the same time, availability of mobility data is growing due to …

Mining large-scale trajectory data streams (of moving objects) has attracted significant
attention due to an abundance of modern tracking devices and a number of real-world …

Road intersections represent one of the most complex configurations encountered when
traversing road networks. It is therefore of vital importance to improve their operational …

Trajectory prediction aims to estimate an entity's future path using its current position and
historical movement data, benefiting fields like autonomous navigation, robotics, and human …