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

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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Bibliographic Details
Main Authors: Francisco Erivaldo Fernandes Junior, Luis Gustavo Nonato, Caetano Mazzoni Ranieri, Jó Ueyama
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
deep neural networks
semantic segmentation
random pruning
Internet of Things
flood detection
user preference
Online Access:https://www.mdpi.com/1424-8220/21/22/7506

Internet

https://www.mdpi.com/1424-8220/21/22/7506

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