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Tracking the Evolution of Water Flow Patterns Based on Spat..:
, In:
2022 23rd IEEE International Conference on Mobile Data Management (MDM)
,
de Sousa, Nelson Tavares
;
Trahms, Carola
;
Kroger, Peer
... - p. 246-253 , 2022
Link:
https://doi.org/10.1109/MDM55031.2022.00054
RT T1
2022 23rd IEEE International Conference on Mobile Data Management (MDM)
: T1
Tracking the Evolution of Water Flow Patterns Based on Spatio-Temporal Particle Flow Clusters
UL https://suche.suub.uni-bremen.de/peid=ieee-9861160&Exemplar=1&LAN=DE A1 de Sousa, Nelson Tavares A1 Trahms, Carola A1 Kroger, Peer A1 Renz, Matthias A1 Schubert, Rene A1 Biastoch, Arne YR 2022 SN 2375-0324 K1 Three-dimensional displays K1 Oceans K1 Computational modeling K1 Sea measurements K1 Prototypes K1 Data visualization K1 Data science K1 data science K1 clustering K1 cluster evolution K1 spatiotemporal data SP 246 OP 253 LK http://dx.doi.org/https://doi.org/10.1109/MDM55031.2022.00054 DO https://doi.org/10.1109/MDM55031.2022.00054 SF ELIB - SuUB Bremen
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