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28 September 2015 Novel approach for simultaneous sediment classification and concentration determination of water turbidity
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Proceedings Volume 9634, 24th International Conference on Optical Fibre Sensors; 96342U (2015) https://doi.org/10.1117/12.2194578
Event: International Conference on Optical Fibre Sensors (OFS24), 2015, Curitiba, Brazil
Abstract
A new approach for data analysis and classification for datasets obtained by a multiparameter optical turbidity sensor is proposed. This approach is based on the combination of statistical or machine learning methods such as linear regressions and clustering analysis. A case study is presented using a 6 dimensional fiber optic sensor to simultaneously classify types of sediments and concentration. Results show a 79% of success for the used training data sets. The methodology proposed is flexible because can be easily adapted to other physical scenarios.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel P. Duarte, Sergio Prats, J. J. Keizer, Petia Georgieva, Rogério Nogueira, and Lúcia Bilro "Novel approach for simultaneous sediment classification and concentration determination of water turbidity", Proc. SPIE 9634, 24th International Conference on Optical Fibre Sensors, 96342U (28 September 2015); https://doi.org/10.1117/12.2194578
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