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1 Ergebnisse
1
Regional Correlation Aided Mobile Traffic Prediction with S..:
, In:
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)
,
Park, JeongJun
;
Mwasinga, Lusungu J.
;
Yang, Huigyu
... - p. 566-569 , 2024
Link:
https://doi.org/10.1109/CCNC51664.2024.10454764
RT T1 <cTitle>2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)</cTitle>: T1 <Title>Regional Correlation Aided Mobile Traffic Prediction with Spatiotemporal Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10454764&Exemplar=1&LAN=DE A1 Park, JeongJun A1 Mwasinga, Lusungu J. A1 Yang, Huigyu A1 Raza, Syed M. A1 Le, Duc-Tai A1 Kim, Moonseong A1 Chung, Min Young A1 Choo, Hyunseung YR 2024 SN 2331-9860 K1 Deep learning K1 Correlation K1 Urban areas K1 Predictive models K1 Spatiotemporal phenomena K1 Geospatial analysis K1 Complexity theory K1 Mobile traffic prediction K1 Deep Learning K1 Clustering K1 TCN-LSTM K1 Peak traffic SP 566 OP 569 LK http://dx.doi.org/https://doi.org/10.1109/CCNC51664.2024.10454764 DO https://doi.org/10.1109/CCNC51664.2024.10454764 SF ELIB - SuUB Bremen
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