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1 Ergebnisse
1
Spatio-temporal Feature Based Multi-participant Recruitment..:
, In:
2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta)
,
Zhang, Fengyuan
;
Yu, Zhiwen
;
Liu, Yimeng
.. - p. 161-168 , 2022
Link:
https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-Dig..
RT T1 <cTitle>2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta)</cTitle>: T1 <Title>Spatio-temporal Feature Based Multi-participant Recruitment in Heterogeneous Crowdsensing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10189433&Exemplar=1&LAN=DE A1 Zhang, Fengyuan A1 Yu, Zhiwen A1 Liu, Yimeng A1 Cui, Helei A1 Guo, Bin YR 2022 K1 Training K1 Schedules K1 Costs K1 Crowdsensing K1 Smart cities K1 Collaboration K1 Sensor phenomena and characterization K1 heterogeneous crowdsensing K1 participants recruitment K1 reinforcement learning K1 subgraph construction SP 161 OP 168 LK http://dx.doi.org/https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00048 DO https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00048 SF ELIB - SuUB Bremen
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