Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
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

C Zhang, C Fan, W Yao, X Hu, A Mostafavi - International Journal of …, 2019 - Elsevier
Social media offers participatory and collaborative structure and collective knowledge
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

U Lagap, S Ghaffarian - International Journal of Disaster Risk Reduction, 2024 - Elsevier
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 …

Damage assessment from social media imagery data during disasters

DT Nguyen, F Ofli, M Imran, P Mitra - Proceedings of the 2017 IEEE/ACM …, 2017 - dl.acm.org
Rapid access to situation-sensitive data through social media networks creates new
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 …

Natural disasters detection in social media and satellite imagery: a survey

N Said, K Ahmad, M Riegler, K Pogorelov… - Multimedia Tools and …, 2019 - Springer
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 …

Cross-media learning for image sentiment analysis in the wild

L Vadicamo, F Carrara, A Cimino… - Proceedings of the …, 2017 - openaccess.thecvf.com
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 …

[PDF][PDF] Damage Identification in Social Media Posts using Multimodal Deep Learning.

H Mouzannar, Y Rizk, M Awad - ISCRAM, 2018 - idl.iscram.org
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 …

Processing social media images by combining human and machine computing during crises

F Alam, F Ofli, M Imran - International Journal of Human–Computer …, 2018 - Taylor & Francis
The extensive use of social media platforms, especially during disasters, creates unique
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

F Yuan, R Liu - International journal of disaster risk reduction, 2018 - Elsevier
The rapid damage assessment plays a critical role in crisis management. Collection of timely
information for rapid damage assessment is particularly challenging during natural …