<div class="csl-bib-body">
<div class="csl-entry">Medeiros, M., Doujak, E., Haller, F. J., Königswieser, C., & Schmidt, J. (2023). Going with the flow: using immersive analytics to support lifetime predictions of hydropower turbines. In T. Huang, M. Sra, F. Argelaguet, P. Lopes, & M. D. Barrera Machuca (Eds.), <i>Proceedings SUI 2023 ACM : Symposium on Spatial User Interaction</i>. Association for Computing Machinery. https://doi.org/10.1145/3607822.3618009</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/193561
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dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Data visualization
en
dc.subject
Virtual Reality
en
dc.subject
Egocentric Navigation
en
dc.title
Going with the flow: using immersive analytics to support lifetime predictions of hydropower turbines
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.contributor.affiliation
VRVis (Austria), Austria
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dc.contributor.affiliation
TU Wien, Austria
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dc.contributor.affiliation
VRVis (Austria), Austria
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dc.contributor.editoraffiliation
University of Technology Sydney, Australia
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dc.contributor.editoraffiliation
University of California, Santa Barbara, United States of America (the)
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dc.contributor.editoraffiliation
Inria Saclay - Île-de-France Research Centre, France
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dc.contributor.editoraffiliation
University of Chicago, United States of America (the)
