http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36232570

Outgoing Links

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contentType Journal Article
endingPage 279
issn 1614-7499
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pageRange 262-279
publicationName Environmental science and pollution research international
startingPage 262
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bibliographicCitation Yu W, Wang X, Jiang X, Zhao R, Zhao S. A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs. Environ Sci Pollut Res Int. 2024 Jan;31(1):262–79. doi: 10.1007/s11356-023-31148-6. PMID: 38015396.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0009-0001-9420-1422
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date 2023-11-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.1007/s11356-023-31148-6
https://pubmed.ncbi.nlm.nih.gov/38015396
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https://portal.issn.org/resource/ISSN/1614-7499
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs
discusses http://id.nlm.nih.gov/mesh/M0004175
http://id.nlm.nih.gov/mesh/M0100328

Total number of triples: 32.