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contentType |
Journal Article|Research Support, Non-U.S. Gov't |
endingPage |
8279 |
issn |
0944-1344 1614-7499 |
issueIdentifier |
11 |
pageRange |
8272-8279 |
publicationName |
Environmental science and pollution research international |
startingPage |
8272 |
bibliographicCitation |
Cai J, Zheng P, Qaisar M, Luo T. Prediction and quantifying parameter importance in simultaneous anaerobic sulfide and nitrate removal process using artificial neural network. Environmental Science and Pollution Research. 2014 Dec 20;22(11):8272–9. doi: 10.1007/s11356-014-3976-3. |
creator |
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date |
2014-12-20^^<http://www.w3.org/2001/XMLSchema#date> |
identifier |
https://doi.org/10.1007/s11356-014-3976-3 https://pubmed.ncbi.nlm.nih.gov/25523291 |
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language |
English |
source |
https://scigraph.springernature.com/ https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/ |
title |
Prediction and quantifying parameter importance in simultaneous anaerobic sulfide and nitrate removal process using artificial neural network |
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