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Flowchart of data collection and process methods. The green box (left) highlights the data post‐processing or transformation steps. The yellow box (right) includes the model development and testing steps. 

Flowchart of data collection and process methods. The green box (left) highlights the data post‐processing or transformation steps. The yellow box (right) includes the model development and testing steps. 

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Due to the large spatial and temporal variations inherent in sediment transport, suspended sediment measurement is challenging. The overall goal of this research was to develop an inexpensive sensor for continuous suspended sediment monitoring in streams. Specifically, this study determined if the gain and phase components of permittivity could be...

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... by dividing the gain output by 30 and the phase output by 10. The frequency indicator values were transformed to actual frequencies (Hz) using the transformation equations listed below: The gain and phase data were then processed and transposed to the correct format for traditional regression and partial least squares (PLS) regression analysis ( fig. 2 provides a flowchart of the following steps). Data processing included collapsing the 18 replicates per treatment level to three test data sets by averaging six replicates of data into tests A, B, and C for the PLS regression analysis. Data sets 1 to 6 were averaged to create test A, data sets 7 to 12 were averaged to create test B, ...