Artificial Intelligence in Disaster Management: A Structured Review from Forecasting to Anticipatory Action
Keywords:
Artificial Intelligence, Machine Learning, Disaster Risk Reduction, Early Warning Systems, Anticipatory ActionAbstract
The increasing complexity, interdependence, and unpredictability of hazards have created a growingneed for advanced technologies to strengthen disaster risk reduction and management. This articlereviews the applications of Artificial Intelligence (AI) and Machine Learning (ML) across the disaster-management cycle, including hazard forecasting, early warning, preparedness, emergencyresponse, damage assessment, and recovery
References
1)Algiriyage, N., Prasanna, R., Stock, K., Doyle, E. E. H., & Johnston, D. (2021). Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review. SN Computer Science, 3(1), 92.
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Published
2023-04-20
How to Cite
Kosygin Leishangthem, Dr. Sonika Thongram, Dr. Hanjabam Saratchandra Sharma. (2023). Artificial Intelligence in Disaster Management: A Structured Review from Forecasting to Anticipatory Action . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 3208–3219. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5805
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