NDLI: Online COD measurement based on multi-source spectral feature-level fusion model

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Online COD measurement based on multi-source spectral feature-level fusion model

Content Provider	Scilit
Author	Guan, Li Tong, Yifei Li, Jingwei Wu, Shaofeng Li, Dongbo
Copyright Year	2021
Description	Journal: Iop Conference Series: Earth and Environmental Science To overcome the shortcomings of UV-Vis spectrometry and fluorescence spectrometry for COD detection, an online measurement named FfCODnet has been proposed and estimated in this paper. In this method, UV-Vis spectrum and fluorescence emission spectrum are collected online by a spectrophotometer, then De-noising Auto-Encoders (part of FfCODnet, abbreviated as DAE) are used to clean two types of raw spectrum respectively, finally the rest of FfCODnet is utilized to predict COD value of water sample. Through experiments and results comparison, the result shows that the proposed method has a good performance on both noise tolerance and measure accuracy.
Related Links	https://iopscience.iop.org/article/10.1088/1755-1315/781/3/032022/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/781/3/032022
Journal	Iop Conference Series: Earth and Environmental Science
Issue Number	3
Volume Number	781
Language	English
Publisher	IOP Publishing
Publisher Date	2021-05-01
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science

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