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VOR-rPPG: A Variance-Optimized Multi-Modal Framework for Robust Remote Photoplethysmography

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dc.contributor.authorGön Yusuf
dc.date.accessioned2026-05-20T10:25:13Z
dc.date.issued2026-04-02
dc.identifier.doi10.5281/zenodo.19312766
dc.identifier.openalexW7148521624
dc.identifier.urihttps://hdl.handle.net/11421/39949
dc.identifier.urihttps://github.com/Zyreniee/VOR-rPPG
dc.identifier.urihttps://doi.org/10.5281/zenodo.19312766
dc.language.isoen
dc.relation.ispartofOpen MIND
dc.rightsopenAccess
dc.subjectPhotoplethysmogram
dc.subjectRobustness (evolution)
dc.subjectWeighting
dc.subjectSignal processing
dc.subjectSIGNAL (programming language)
dc.subjectCluster analysis
dc.subjectBenchmark (surveying)
dc.subjectStability (learning theory)
dc.titleVOR-rPPG: A Variance-Optimized Multi-Modal Framework for Robust Remote Photoplethysmography
dspace.entity.typePublication

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