Despite the promising results of deep learning research, construction industry applications
are still limited. Facility Management (FM) in construction has yet to take full advantage of …

This study aims to evaluate the utilization of technology known as Digital Twin for fault
detection in buildings. The strategy consisted of studying existing applications, difficulties …

Traffic volume propagating from upstream road link to downstream road link is the key
parameter for designing intersection signal timing scheme. Recent works successfully used …

Nowadays, it is common for applications to require servers to run constantly and aim as
close as possible to zero downtime. The slightest failure might cause significant financial …

Over the years, many state-of-the-art technologies have reinforced safety in the high-speed
railway driving process. However, the accident rate has not dropped significantly with the …

The rapid development of information technology has brought much convenience to human
life, but more network threats have also come one after another. Network security situation …

In recent years, the demand for automatic crowd behavior analysis has surged, driven by the
need to ensure public safety and minimize casualties during events of public and religious …

Crowd flow prediction is an important problem of urban computing with many applications,
such as public security. Inspired by the success of deep learning, various deep learning …

Crowd prediction is a crucial aspect of modern society, facilitating numerous decision-
making processes, such as hazard detection and facility maintenance. Conventional crowd …

Occupancy information, especially the number of occupants, can effectively guide the
operation of building systems. Capturing real-time and accurate occupancy information is …