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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |