Corrigendum: Journal of Hydroinformatics 1 November 2023; 25 (6): 2660–2674; Development of a lightweight convolutional neural network-based visual model for sediment concentration prediction by incorporating the IoT concept, Cheng-Chia Huang, Che-Cheng Chang, Chiao-Ming Chang, Ming-Han Tsai. https://doi.org/10.2166/hydro.2023.215

doi:10.2166/hydro.2024.004

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Correction| July 24 2024

Corrigendum: Journal of Hydroinformatics 1 November 2023; 25 (6): 2660–2674; Development of a lightweight convolutional neural network-based visual model for sediment concentration prediction by incorporating the IoT concept, Cheng-Chia Huang, Che-Cheng Chang, Chiao-Ming Chang, Ming-Han Tsai. https://doi.org/10.2166/hydro.2023.215

Journal of Hydroinformatics (2024) 26 (7): 1806.

https://doi.org/10.2166/hydro.2024.004

The authors wish to amend their affiliation details so that the nation name is presented as ‘Taiwan’. The amendments have also been made in the online version of the paper.

Cheng-Chia Huang^a,*, Che-Cheng Chang^b, Chiao-Ming Chang^b and Ming-Han Tsai^b

^aDepartment of Water Resources Engineering and Conservation, Feng Chia University, Taichung City, Taiwan

^bDepartment of Information Engineering and Computer Science, Feng Chia University, Taichung City, Taiwan

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