Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31227
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLEMMENS, Marijn-
dc.date.accessioned2020-05-27T08:49:43Z-
dc.date.available2020-05-27T08:49:43Z-
dc.date.issued2019-
dc.date.submitted2020-04-20T20:27:22Z-
dc.identifier.citationEngineering of Functional Interfaces (EnFi 2019), Leuven, Belgium, 8-9 July 2019-
dc.identifier.urihttp://hdl.handle.net/1942/31227-
dc.language.isoen-
dc.titleMulti-frequency electrical impedance analysis for monitoring aqueous solutions using an accelerated neural network approach-
dc.typeConference Material-
local.bibliographicCitation.conferencedate8-9 July 2019-
local.bibliographicCitation.conferencenameEngineering of Functional Interfaces (EnFi 2019)-
local.bibliographicCitation.conferenceplaceLeuven, Belgium-
local.format.pages3-
local.bibliographicCitation.jcatC2-
local.type.refereedRefereed-
local.type.specifiedConference Presentation-
local.provider.typePdf-
local.uhasselt.uhpubyes-
item.contributorLEMMENS, Marijn-
item.accessRightsRestricted Access-
item.fullcitationLEMMENS, Marijn (2019) Multi-frequency electrical impedance analysis for monitoring aqueous solutions using an accelerated neural network approach. In: Engineering of Functional Interfaces (EnFi 2019), Leuven, Belgium, 8-9 July 2019.-
item.fulltextWith Fulltext-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
E5_Lemmens.pdf
  Restricted Access		Conference material749.9 kBAdobe PDFView/Open    Request a copy
Show simple item record

Page view(s)

28
checked on Aug 9, 2022

Download(s)

4
checked on Aug 9, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.