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 …

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 …

Advances in tracking technologies have spurred the rapid growth of large-scale trajectory
data. Building a compact collection of pathlets, referred to as a trajectory pathlet dictionary, is …

Since the onset of the COVID-19 pandemic, researchers in the SIGSPATIAL community
have utilized computational solutions to better explain, predict, and respond to infectious …

The movement of people can influence the spread of diseases, especially in populated
areas. While measures like quarantine can curb disease spread by restricting the movement …

Artificial intelligence (AI) models of infectious disease spread are critical decisionsupport
systems to help explain the mechanisms of infectious disease spread, predict the number of …

The 21st century has seen major epidemics and pandemics caused by infectious diseases
like coronaviruses, influenza, and most recently, monkey pox. Infectious disease spread …

Trajectory prediction involves estimating an object's future path using its current state and
historical data, with applications in autonomous vehicles, robotics, and human motion …

The rapid development of geospatial technologies and location-based devices have
motivated the research community of trajectory data mining, due to numerous applications …