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1 Ergebnisse
1
Privacy-preserving & machine-learned catchment models for n..:
, In:
2022 IEEE International Conference on Big Data (Big Data)
,
Long, Gavin
;
Harvey, John
;
Smith, Gavin
... - p. 4084-4087 , 2022
Link:
https://doi.org/10.1109/BigData55660.2022.10020629
RT T1
2022 IEEE International Conference on Big Data (Big Data)
: T1
Privacy-preserving & machine-learned catchment models for national dietary surveillance via digital footprint data
UL https://suche.suub.uni-bremen.de/peid=ieee-10020629&Exemplar=1&LAN=DE A1 Long, Gavin A1 Harvey, John A1 Smith, Gavin A1 Nica-Avram, Georgiana A1 Engelmann, Gregor A1 Goulding, James YR 2022 K1 Radio frequency K1 Analytical models K1 Surveillance K1 Sociology K1 Machine learning K1 Big Data K1 Predictive models K1 Machine Learning K1 Catchment Models K1 Digital Footprints K1 Privacy preservation K1 Optimization SP 4084 OP 4087 LK http://dx.doi.org/https://doi.org/10.1109/BigData55660.2022.10020629 DO https://doi.org/10.1109/BigData55660.2022.10020629 SF ELIB - SuUB Bremen
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