Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Technical and methodological enhancement of hazards and disaster research is identified
as a critical question in disaster management. Artificial intelligence (AI) applications, such as …

Traditional handcrafted crowd-counting techniques in an image are currently transformed
via machine-learning and artificial-intelligence techniques into intelligent crowd-counting …

Real time crowd analysis represents an active area of research within the computer vision
community in general and scene analysis in particular. Over the last 10 years, various …

Crowd counting is an active research area within scene analysis. Over the last 20 years,
researchers proposed various algorithms for crowd counting in real-time scenarios due to …

Artificial intelligence (AI) can improve operational processes by utilizing faster computational
capabilities, data, and innovative algorithms. This article reviews the latest research on the …

Whenever a disaster occurs, users in social media, sensors, cameras, satellites, and the like
generate vast amounts of data. Emergency responders and victims use this data for …

The last decades, crowd simulation for crisis management is highlighted as an important
topic of interest for many scientific fields. As the continuous evolution of computational …

Unmet healthcare needs in the aftermath of disasters can significantly impede recovery
efforts and exacerbate health disparities among the affected communities. This study aims to …

This paper presents the implementation of a coordinated decision-making agent for
emergency response scenarios. The agent's implementation uses reinforcement learning …