The field of mobile and wearable computing is undergoing a revolutionary integration of
machine learning. Devices can now diagnose diseases, predict heart irregularities, and …

Crowd flow prediction is an essential task benefiting a wide range of applications for the
transportation system and public safety. However, it is a challenging problem due to the …

The goal of the crime forecasting problem is to predict different types of crimes for each
geographical region (like a neighborhood or censor tract) in the near future. Since nearby …

Can health conditions be inferred from an individual's mobility pattern? Existing research
has discussed the relationship between individual physical activity/mobility and well-being …

How does individual mobility in the urban environment impact their health status? Previous
works have explored the correlation between human mobility behaviour and individual …

The prediction of human mobility can facilitate resolving many kinds of urban problems, such
as reducing traffic congestion, and promote commercial activities, such as targeted …

In response to the absence of demographics in increasingly emerging big data sets, we
propose a novel method for inferring the missing demographic information based on …

Nowadays, the explosive growth of personalized web applications and the rapid
development of artificial intelligence technology have flourished the recent research on …

Tracking demographic dynamics for the built environment is important for a smart city. As a
kind of ubiquitous Industrial Internet of Things (IIoT) device, portable devices (eg, mobile …

Efficient representations for spatio-temporal cellular Signaling Data (SD) are essential for
many human mobility applications. Traditional representation methods are mainly designed …