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Contamination event detection in drinking water systems using a real-time learning approach

dc.contributor.authorEliades, D. G.en
dc.contributor.authorPanayiotou, Christos G.en
dc.contributor.authorPolycarpou, Marios M.en
dc.creatorEliades, D. G.en
dc.creatorPanayiotou, Christos G.en
dc.creatorPolycarpou, Marios M.en
dc.date.accessioned2019-04-08T07:45:44Z
dc.date.available2019-04-08T07:45:44Z
dc.date.issued2014
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/43362
dc.source2014 International Joint Conference on Neural Networks (IJCNN)en
dc.sourceIEEE International Joint Conference on Neural Networksen
dc.subjectUncertaintyen
dc.subjectMonte carlo methodsen
dc.subjectAdaptive detection thresholden
dc.subjectChlorine concentration measurementsen
dc.subjectComputational modelingen
dc.subjectContaminant injectionen
dc.subjectContaminationen
dc.subjectContamination event detection algorithmen
dc.subjectDrinking water distribution networksen
dc.subjectDrinking water systemsen
dc.subjectEvent detectionen
dc.subjectLearning (artificial intelligence)en
dc.subjectModel-based event detection schemeen
dc.subjectMonte carlo simulationsen
dc.subjectPollution measurementen
dc.subjectReal-time learning approachen
dc.subjectReal-time systemsen
dc.subjectWater pollutionen
dc.subjectWater resourcesen
dc.titleContamination event detection in drinking water systems using a real-time learning approachen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/IJCNN.2014.6889977
dc.description.startingpage663
dc.description.endingpage670
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidPanayiotou, Christos G. [0000-0002-6476-9025]
dc.contributor.orcidPolycarpou, Marios M. [0000-0001-6495-9171]
dc.gnosis.orcid0000-0002-6476-9025
dc.gnosis.orcid0000-0001-6495-9171


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