1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Άρθρα/Articles
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1918
DC FieldValueLanguage
dc.contributor.authorKuzniz, Tal-
dc.contributor.authorHalot, D.-
dc.contributor.authorMignani, Anna Grazia-
dc.contributor.authorCiaccheri, Leonardo-
dc.contributor.authorKalli, Kyriacos-
dc.contributor.authorTur, Moshe-
dc.contributor.authorOthonos, Andreas S.-
dc.contributor.authorChristofidès, Constantinos-
dc.contributor.authorJackson, David A.-
dc.date.accessioned2009-12-23T09:07:47Zen
dc.date.accessioned2013-05-17T05:21:36Z-
dc.date.accessioned2015-12-02T09:39:57Z-
dc.date.available2009-12-23T09:07:47Zen
dc.date.available2013-05-17T05:21:36Z-
dc.date.available2015-12-02T09:39:57Z-
dc.date.issued2007-01-30-
dc.identifier.citationSensors and Actuators B: Chemical, 2007, vol. 121, no. 1, pp. 231-237en_US
dc.identifier.issn9254005-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1918-
dc.description.abstractThe concentration of several pollutants, usually present in industrial waste waters, is predicted by the neural network data processing of absorption and fluorescence measurements in the visible spectral range. Proper network training provides quantitative analysis of many pollutants with sub-ppm resolution. Compact optical fibre instrumentation for absorption spectroscopy and an innovative flowcell for fluorescence measurements enable cost-effective, in situ, nonstop monitoring of waste waters.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofSensors and Actuators B: Chemicalen_US
dc.rights© Elsevieren_US
dc.subjectPollutants Wateren_US
dc.subjectAbsorption spectroscopyen_US
dc.subjectFibre opticsen_US
dc.subjectSensoren_US
dc.subjectFluorescence spectroscopyen_US
dc.subjectNeural network analysisen_US
dc.titleInstrumentation for the monitoring of toxic pollutants in water resources by means of neural network analysis of absorption and fluorescence spectraen_US
dc.typeArticleen_US
dc.collaborationTel Aviv Universityen_US
dc.collaborationUniversity of Kent at Canterburyen_US
dc.collaborationCNR - National Research Council of Italyen_US
dc.collaborationUniversity of Cyprusen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryIsraelen_US
dc.countryUnited Kingdomen_US
dc.countryItalyen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.snb.2006.09.012en_US
dc.dept.handle123456789/54en
dc.relation.issue1en_US
dc.relation.volume121en_US
cut.common.academicyear2006-2007en_US
dc.identifier.spage231en_US
dc.identifier.epage237en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn0925-4005-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-4541-092X-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Άρθρα/Articles
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

21
checked on Nov 9, 2023

WEB OF SCIENCETM
Citations 50

19
Last Week
0
Last month
0
checked on Oct 9, 2023

Page view(s)

412
Last Week
4
Last month
13
checked on May 12, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons