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Continuous monitoring of suspended sediment concentrations using image analytics and deriving inherent correlations by machine learning
The barriers for the development of continuous monitoring of Suspended Sediment Concentration (SSC) in channels/rivers include costs and technological gaps but this paper shows that a solution is feasible by: (i) using readily available high-resolution images; (ii) transforming the images into image...
Autores principales: | Ghorbani, Mohammad Ali, Khatibi, Rahman, Singh, Vijay P., Kahya, Ercan, Ruskeepää, Heikki, Saggi, Mandeep Kaur, Sivakumar, Bellie, Kim, Sungwon, Salmasi, Farzin, Hasanpour Kashani, Mahsa, Samadianfard, Saeed, Shahabi, Mahmood, Jani, Rasoul |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244478/ https://www.ncbi.nlm.nih.gov/pubmed/32444611 http://dx.doi.org/10.1038/s41598-020-64707-9 |
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