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  • Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives
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Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives

Fuente: arXiv
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Bibliographic Details
Main Authors: Chun, Kwok P, Octavianti, Thanti, Dogulu, Nilay, Tyralis, Hristos, Papacharalampous, Georgia, Rowberry, Ryan, Fan, Pingyu, Everard, Mark, Francesch-Huidobro, Maria, Migliari, Wellington, Hannah, David M., Marshall, John Travis, Calasanz, Rafael Tolosana, Staddon, Chad, Ansharyani, Ida, Dieppois, Bastien, Lewis, Todd R, Ponce, Juli, Ibrean, Silvia, Ferreira, Tiago Miguel, Peliño-Golle, Chinkie, Mu, Ye, Delgado, Manuel, Espinoza, Elizabeth Silvestre, Keulertz, Martin, Gopinath, Deepak, Li, Cheng
Format: Preprint
Published: 2024
Subjects:
Computers and Society
Machine Learning
Online Access:
Acceder al recurso
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Internet

https://arxiv.org/abs/2410.07123

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