Development of a lightweight convolutional neural network-based visual model for sediment concentration prediction by incorporating the IoT concept

Sediment concentration (SC) monitoring has always been a pressing issue in water resource management, as many existing instruments still face challenges in accurately measuring due to environmental factors and instrument limitations. A robust technology is worth presenting to apply in the field site...

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Principais autores:	Cheng-Chia Huang, Che-Cheng Chang, Chiao-Ming Chang, Ming-Han Tsai
Formato:	Artigo
Idioma:	Inglês
Publicado:	IWA Publishing 2023-11-01
Series:	Journal of Hydroinformatics
Assuntos:	convolutional neural network (cnn) distributed computing system internet of things (iot) real-time application (rta) sediment concentration (sc)
Acceso en liña:	http://jhydro.iwaponline.com/content/25/6/2660
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