Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Social media for intelligent public information and warning in disasters: An interdisciplinary review
Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …
building capacity to the public information and warning approaches. Therefore, the author …
[HTML][HTML] Digital post-disaster risk management twinning: a review and improved conceptual framework
Digital Twins (DT) is the real-time virtual representation of systems, communities, cities, or
even human beings with the substantial potential to revolutionize post-disaster risk …
even human beings with the substantial potential to revolutionize post-disaster risk …
Damage assessment from social media imagery data during disasters
Rapid access to situation-sensitive data through social media networks creates new
opportunities to address a number of real-world problems. Damage assessment during …
opportunities to address a number of real-world problems. Damage assessment during …
Disaster management 2.0: A real-time disaster damage assessment model based on mobile social media data—A case study of Weibo (Chinese Twitter)
S Shan, F Zhao, Y Wei, M Liu - Safety science, 2019 - Elsevier
In the era of big data, could popularized social media platforms assist with urban damage
monitoring and assessment and aid disaster rescue? Before, during, and after such …
monitoring and assessment and aid disaster rescue? Before, during, and after such …
Natural disasters detection in social media and satellite imagery: a survey
The analysis of natural disaster-related multimedia content got great attention in recent
years. Being one of the most important sources of information, social media have been …
years. Being one of the most important sources of information, social media have been …
Cross-media learning for image sentiment analysis in the wild
Much progress has been made in the field of sentiment analysis in the past years.
Researchers relied on textual data for this task, while only recently they have started …
Researchers relied on textual data for this task, while only recently they have started …
[PDF][PDF] Damage Identification in Social Media Posts using Multimodal Deep Learning.
Social media has recently become a digital lifeline used to relay information and locate
survivors in disaster situations. Currently, officials and volunteers scour social media for any …
survivors in disaster situations. Currently, officials and volunteers scour social media for any …
Processing social media images by combining human and machine computing during crises
The extensive use of social media platforms, especially during disasters, creates unique
opportunities for humanitarian organizations to gain situational awareness as disaster …
opportunities for humanitarian organizations to gain situational awareness as disaster …
Feasibility study of using crowdsourcing to identify critical affected areas for rapid damage assessment: Hurricane Matthew case study
The rapid damage assessment plays a critical role in crisis management. Collection of timely
information for rapid damage assessment is particularly challenging during natural …
information for rapid damage assessment is particularly challenging during natural …