Please use this identifier to cite or link to this item: doi:10.22028/D291-47783
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Title: AI-Driven Disaster Response and Displacement Monitoring
Author(s): Al-Emadi, Noora
Imran, Muhammad
Yang, Yin
Weber, Ingmar
Lashi, Fabjan
Rigodanza, Gaia
Hajžmanová, Ivana
Ofli, Ferda
Language: English
Title: Communications of the ACM
Volume: 68
Issue: 10
Pages: 66-71
Publisher/Platform: ACM
Year of Publication: 2025
Free key words: Computing methodologies
Artificial intelligence
Machine learning
Theory of computation
Theory and algorithms for application domains
Machine learning theory
DDC notations: 004 Computer science, internet
Publikation type: Journal Article
DOI of the first publication: 10.1145/3737449
URL of the first publication: https://doi.org/10.1145/3737449
Link to this record: urn:nbn:de:bsz:291--ds-477830
hdl:20.500.11880/41791
http://dx.doi.org/10.22028/D291-47783
ISSN: 1557-7317
0001-0782
Date of registration: 8-May-2026
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Ingmar Weber
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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