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1
Pedestrian and vehicular tracking based on Wi-Fi sniffing: ..:
, In:
2022 61st FITCE International Congress Future Telecommunications: Infrastructure and Sustainability (FITCE)
,
Bertolusso, M.
;
Pettorru, G.
;
Spanu, M.
... - p. 1-6 , 2022
Link:
https://doi.org/10.23919/FITCE56290.2022.9934777
RT T1 <cTitle>2022 61st FITCE International Congress Future Telecommunications: Infrastructure and Sustainability (FITCE)</cTitle>: T1 <Title>Pedestrian and vehicular tracking based on Wi-Fi sniffing: a real-world case study</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9934777&Exemplar=1&LAN=DE A1 Bertolusso, M. A1 Pettorru, G. A1 Spanu, M. A1 Fadda, M. A1 Sole, M. A1 Farina, M. A1 Anedda, M. A1 Giusto, D. D. YR 2022 K1 Training K1 Neural networks K1 Urban areas K1 Machine learning K1 Real-time systems K1 Mobile handsets K1 Telecommunications K1 Social IoT K1 Internet of Services K1 Smart City K1 Smart Logistics K1 Machine Learning K1 Localization and Location-based Services SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.23919/FITCE56290.2022.9934777 DO https://doi.org/10.23919/FITCE56290.2022.9934777 SF ELIB - SuUB Bremen
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