Memory-Based Pruning of Deep Neural Networks for IoT Devices Applied to Flood Detection

Automatic flood detection may be an important component for triggering damage control systems and minimizing the risk of social or economic impacts caused by flooding. Riverside images from regular cameras are a widely available resource that can be used for tackling this problem. Nevertheless, stat...

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Detalles Bibliográficos
Autores principales: Fernandes Junior, Francisco Erivaldo, Nonato, Luis Gustavo, Ranieri, Caetano Mazzoni, Ueyama, Jó
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622476/
https://www.ncbi.nlm.nih.gov/pubmed/34833583
http://dx.doi.org/10.3390/s21227506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622476/
https://www.ncbi.nlm.nih.gov/pubmed/34833583
http://dx.doi.org/10.3390/s21227506

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