Ultraviolet visible spectral water chemical oxygen demand detection method based on two deep neural network model-Reference-Cited by-同舟云学术

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Ultraviolet visible spectral water chemical oxygen demand detection method based on two deep neural network model

Published:2024-08-28 Issue: Volume: Page:1-12
ISSN:0038-7010
Container-title:Spectroscopy Letters
language:en
Short-container-title:Spectroscopy Letters

Author:

Zhang Xiaojun¹,Cai Yiwen¹,Wang Feng¹,Wu Jin²,Liu Xiaoyu¹

Affiliation:

1. Harbin Engineering University, Harbin, China

2. Shaanxi Electric Appliance Research Institute, Xi’an, China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00387010.2024.2395326

Reference26 articles.

1. Application of Comprehensive Water Quality Identification Index in Water Quality Assessment of River;Qun M.;Congress on Intelligent Systems IEEE,2011

2. Competitive Adaptive Reweighted Sampling Method for Fault Detection;Wang X.;Journal of Physics: Conference Series,2021

3. Seven derivations of the Beer-Lambert law

4. Water Quality Analysis by UV-Vis Spectroscopy: A Review of Methodology and Application;Hou D. B.;Spectroscopy and Spectral Analysis,2013

5. Classification of Organic Contaminants in Water Distribution Systems Developed by SPA and Multi-Classification SVM Using UV-Vis Spectroscopy;Huang P.;Spectroscopy and Spectral Analysis,2020

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