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Integration of Artificial Neural Network Regression and Principal Component Analysis for Indoor Visible Light Positioning

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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0003-0667-3276
cris.virtualsource.department8487bff3-9b59-4d83-b39f-357a479c6299
cris.virtualsource.orcid8487bff3-9b59-4d83-b39f-357a479c6299
dc.contributor.authorFite, Negasa Berhanu
dc.contributor.authorWegari, Getachew Mamo
dc.contributor.authorSteendam, Heidi
dc.contributor.imecauthorFite, Negasa Berhanu
dc.contributor.imecauthorSteendam, Heidi
dc.contributor.orcidimecSteendam, Heidi::0000-0003-0667-3276
dc.date.accessioned2025-03-05T20:23:29Z
dc.date.available2025-03-05T20:23:29Z
dc.date.issued2025-FEB
dc.description.wosFundingTextThe authors would like to thank Jimma University, Ethiopia, and Ghent University, Belgium, for their support of the NASCERE project.
dc.identifier.doi10.3390/s25041049
dc.identifier.issn1424-8220
dc.identifier.pmidMEDLINE:40006278
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45312
dc.publisherMDPI
dc.source.beginpage1049
dc.source.issue4
dc.source.journalSENSORS
dc.source.numberofpages22
dc.source.volume25
dc.title

Integration of Artificial Neural Network Regression and Principal Component Analysis for Indoor Visible Light Positioning

dc.typeJournal article
dspace.entity.typePublication
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