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1 Ergebnisse
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Trustworthiness of Context-Aware Urban Pollution Data in Mo..:
Marco Zappatore
;
Corrado Loglisci
;
Antonella Longo
...
https://ieeexplore.ieee.org/document/8878118/. , 2019
Link:
https://doi.org/10.1109/ACCESS.2019.2948757
RT Journal T1
Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:d2afc89676c74d86840654b061261e04&Exemplar=1&LAN=DE A1 Marco Zappatore A1 Corrado Loglisci A1 Antonella Longo A1 Mario A. Bochicchio A1 Lucia Vaira A1 Donato Malerba PB IEEE YR 2019 K1 Classification K1 data quality K1 data trustworthiness level prediction K1 machine learning K1 mobile crowd sensing K1 transductive learning algorithm K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 JF https://ieeexplore.ieee.org/document/8878118/ LK http://dx.doi.org/https://doi.org/10.1109/ACCESS.2019.2948757 DO https://doi.org/10.1109/ACCESS.2019.2948757 SF ELIB - SuUB Bremen
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