Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms

High loads of suspended sediments in rivers are known to cause detrimental effects to potable water sources, river water quality, irrigation activities, and dam or reservoir operations. For this reason, the study of suspended sediment load (SSL) prediction is important for monitoring and damage miti...

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Detalles Bibliográficos
Autores principales: Essam, Yusuf, Huang, Yuk Feng, Birima, Ahmed H., Ahmed, Ali Najah, El-Shafie, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741754/
https://www.ncbi.nlm.nih.gov/pubmed/34997183
http://dx.doi.org/10.1038/s41598-021-04419-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741754/
https://www.ncbi.nlm.nih.gov/pubmed/34997183
http://dx.doi.org/10.1038/s41598-021-04419-w

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