We present NEAT-a Visual Analytics approach to the collaborative management of large-
scale emergencies. NEAT unifies the analysis and annotation of heterogeneous, uncertainty …

There is a need to understand large and complex datasets to provide better situa-tional
awareness in-order to make timely well-informed actionable decisions in critical …

It is argued that with the proliferation of social media and smart devices, a considerable
amount of multimedia data can be collected before, during, and after a disaster. The disaster …

In today's security and monitoring landscape, remote surveillance has become a
cornerstone. However, its conventional role as a passive historical event recorder has …

Crowded metropolises present unique challenges to the potential deployment of
autonomous vehicles. Safety of pedestrians cannot be compromised and personal privacy …

Rapid identification and response to breaking events, particularly those that pose a threat to
human life such as natural disasters or conflicts, is of paramount importance. The …

This study addresses the challenge of urban safety in New York City by examining the
relationship between the built environment and crime rates using machine learning and a …

The study of automated video surveillance systems study using computer vision techniques
is a hot research topic and has been deployed in many real-world CCTV environments. The …

For construction safety and health, continuous monitoring of unsafe conditions and action is
essential in order to eliminate potential hazards in a timely manner. As a robust and …