Denoising of Geochemical Data using Deep LearningImplications for Regional Surveys

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dc.article.end-page520en
dc.article.start-page495en
dc.citation.doi10.1007/S11053-024-10317-5en
dc.contributor.authorS.E Zhangen
dc.contributor.authorJ.E Bourdeauen
dc.contributor.authorGlen Nwailaen
dc.contributor.authorM Parsaen
dc.contributor.authorYousef Ghorbanien
dc.date.accessioned2024-09-16T12:59:15Z
dc.date.available2024-09-16T12:59:15Z
dc.facultyFACULTY OF SCIENCEen
dc.identifier.citationWOSen
dc.identifier.issn1520-7439en
dc.identifier.urihttps://hdl.handle.net/10539/40828
dc.journal.titleDenoising of Geochemical Data using Deep LearningImplications for Regional Surveysen
dc.journal.volume33en
dc.titleDenoising of Geochemical Data using Deep LearningImplications for Regional Surveysen
dc.typeJournal Articleen
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