http://rdf.ncbi.nlm.nih.gov/pubchem/reference/3163882

Outgoing Links

Predicate Object
contentType Journal Article|Research Support, Non-U.S. Gov't
endingPage 459
issn 1996-9732
0273-1223
issueIdentifier 2
pageRange 448-459
publicationName Water science and technology : a journal of the International Association on Water Pollution Research
startingPage 448
bibliographicCitation Cembrano G, Quevedo J, Puig V, Pérez R, Figueras J, Verdejo JM, Escaler I, Ramón G, Barnet G, Rodríguez P, Casas M. PLIO: a generic tool for real-time operational predictive optimal control of water networks. Water Sci Technol. 2011;64(2):448–59. doi: 10.2166/wst.2011.431. PMID: 22097020.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d9af388d751c1aa4cece82ab4e26486c
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_2f079c5ad549386e0a7c912cd31d5d28
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f998ded2ad9f18f34cfda3f51ad3ab0a
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_393799dbf63ecdffd10e38569b042afb
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_488af3ac0c985c2393e5a78d2d4d0e09
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_0685588a5307324b0f0be9cc57c1d103
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_975480ab554db5d8464184733e372bad
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_ed440fcabbef4d8f1058e225c14fc2c6
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_b61ae446fbe8791d28ecd38a34aa4c66
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_559c450cbe1f633f4817ebfd11e89837
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d738a65862925ea8ec23020283502491
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-1436-6022
date 2011-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.2166/wst.2011.431
https://pubmed.ncbi.nlm.nih.gov/22097020
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/20264
https://portal.issn.org/resource/ISSN/0273-1223
https://portal.issn.org/resource/ISSN/1996-9732
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title PLIO: a generic tool for real-time operational predictive optimal control of water networks
discusses http://id.nlm.nih.gov/mesh/M0022883

Total number of triples: 32.