Computing predicted data according to weighted peak preservation and time distance biasing

dc.contributor.authorHao, Ming C.
dc.contributor.authorDayal, Umeshwar
dc.contributor.authorKeim, Daniel A.
dc.contributor.authorHill, Walter
dc.contributor.authorMittelstädt, Sebastian
dc.contributor.authorJanetzko, Halldor
dc.date.accessioned2023-06-01T13:02:26Z
dc.date.available2023-06-01T13:02:26Z
dc.date.issued2016
dc.description.versionpublisheddeu
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/67022
dc.language.isoeng
dc.subject.ddc004
dc.titleComputing predicted data according to weighted peak preservation and time distance biasingeng
dc.typePATENT
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kops.citation.bibtex
@misc{Hao2016Compu-67022,
  year={2016},
  title={Computing predicted data according to weighted peak preservation and time distance biasing},
  url={https://patents.google.com/patent/US9355357B2/en},
  author={Hao, Ming C. and Dayal, Umeshwar and Keim, Daniel A. and Hill, Walter and Mittelstädt, Sebastian and Janetzko, Halldor}
}
kops.citation.iso690HAO, Ming C., Umeshwar DAYAL, Daniel A. KEIM, Walter HILL, Sebastian MITTELSTÄDT, Halldor JANETZKO, 2016. Computing predicted data according to weighted peak preservation and time distance biasingdeu
kops.citation.iso690HAO, Ming C., Umeshwar DAYAL, Daniel A. KEIM, Walter HILL, Sebastian MITTELSTÄDT, Halldor JANETZKO, 2016. Computing predicted data according to weighted peak preservation and time distance biasingeng
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