Early Warning Systems for Natural Disaster Using AI to Enhance Emergency Communication and Citizen Participation
Incomplete
Classifications
MinEdu publication type
A3 Book chapter (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Compilation
Publication channel information
Title of host publication
Advancements in AI and ML for Early Warning Systems in Natural Disaster Detection : Future Trends and Innovations
Editors of host publication
Kumar Pandey, Jay; Rai, Mritunjay
ISBN (print)
978-1-77964-396-4
ISBN (electronic)
978-1-77964-397-1
Publisher
Apple Academic Press Inc.
Publication forum ID
9019
Internationality
Yes
Detailed publication information
Publication year
2026
Journal/series volume number
Forthcoming April 2026
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Classification and additional information
MinEdu field of science classification
1172 Environmental sciences, 4112 Forestry, 213 Electronic, automation and communications engineering, electronics, 218 Environmental engineering, 113 Computer and information sciences
Keywords
Artificial Intelligence (AI); Machine Learning (ML); Early Warning Systems (EWS); Natural Disaster Detection; Disaster Management; Digital Twin Technology; Intelligent Reasoning; IoT Integration; Data Fusion; Sentiment Analysis; Predictive Insights; Climate Adaptation; Sustainable Resource Management; Satellite Imagery; Social Media Data; IoT Sensors; Environmental Data; Explainable AI (XAI); Community Engagement; Industry 6.0; Urban Flooding; Earthquake Risk Assessment; Fuzzy AI Techniques; Damage Assessment; Recovery Coordination; Remote Sensing; Crowdsourced Data; Socio-Economic Implications; Psychological Implications; Trust and Transparency; Human-Centric