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Leonardo Plazas-Nossa
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Journal Articles
Forecasting of UV-Vis absorbance time series using artificial neural networks combined with principal component analysis
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Water Sci Technol (2017) 75 (4): 765–774.
Date Online: 02 December 2016
Journal Articles
Comparison of discrete Fourier transform (DFT) and principal component analysis/DFT as forecasting tools for absorbance time series received by UV-visible probes installed in urban sewer systems
Available to Purchase
Water Sci Technol (2014) 69 (5): 1101–1107.
Date Online: 21 January 2014
View articletitled, Comparison of discrete Fourier transform (DFT) and principal component analysis/DFT as forecasting tools for absorbance time series received by UV-visible probes installed in urban sewer systems
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for article titled, Comparison of discrete Fourier transform (DFT) and principal component analysis/DFT as forecasting tools for absorbance time series received by UV-visible probes installed in urban sewer systems