Early warning of cyanobacterial blooms based on polarized light scattering powered by machine learning-Reference-Cited by-同舟云学术

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Early warning of cyanobacterial blooms based on polarized light scattering powered by machine learning

Published:2021-11 Issue: Volume:184 Page:109902
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Wang Hongjian,Li Jiajin,Liao Ran,Tao Yi,Peng Liang,Li Hening,Deng Hanbo,Ma Hui

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference49 articles.

1. Cyanobacterial blooms;Huisman;Nat. Rev. Microbiol.,2018

2. State of knowledge and concerns on cyanobacterial blooms and cyanotoxins;Merel;Environ. Int.,2013

3. Cyanobacterial Toxins as Allelochemicals with Potential Applications as Algaecides;Berry;Herbicides and Insecticides, Marine Drugs,2008

4. predicting fish kills and toxic blooms in an intensive mariculture site in the Philippines using a machine learning model;Yñiguez;Sci. Total Environ.,2020

5. Algal blooms in the middle and lower Han River: Characteristics, early warning and prevention;Xin;Sci. Total Environ.,2020

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1. Pulse Feature-Enhanced Classification of Microalgae and Cyanobacteria Using Polarized Light Scattering and Fluorescence Signals;Biosensors;2024-03-28

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5. Polarization fingerprint for microalgae classification;Optics and Lasers in Engineering;2023-07

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