Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …

Detailed mobile sensing data from phones and fitness trackers offer an opportunity to
quantify previously unmeasurable behavioral changes to improve individual health and …

Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …

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 …

Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …

Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …

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

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

Human activity recognition plays a significant role in smart building applications, healthcare
services, and security monitoring. In particular, WiFi‐based indoor wireless sensing system …

Data from the cellular network have been proved as one of the most promising way to
understand large-scale human mobility for various ubiquitous computing applications due to …