Algorithm for monitoring water quality parameters in optical systems based on artificial intelligenc...
Algorithm for monitoring water quality parameters in optical systems based on artificial intelligence data mining
About this item
Full title
Author / Creator
Su, Jie , Xu, Weining and Lin, Ziyu
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
Due to the increasingly serious water environment pollution, the difficulty of Water Quality Monitoring (abbreviated as WQM for convenience) is also constantly increasing, which puts forward more requirements for the capabilities of various aspects of WQM systems. However, the current WQM method has drawbacks such as slow speed, long monitoring tim...
Alternative Titles
Full title
Algorithm for monitoring water quality parameters in optical systems based on artificial intelligence data mining
Authors, Artists and Contributors
Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_35b423bde48a40b6989b012e777b19d8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_35b423bde48a40b6989b012e777b19d8
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-76700-7
