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1 Ergebnisse
1
Predicting Road Traffic Risks with CNN-and-LSTM Learning Ov..:
, In:
2023 IEEE International Conference on Software Services Engineering (SSE)
,
Lin, Kun-Yu
;
Liu, Pei-Yi
;
Wang, Po-Kai
.. - p. 305-311 , 2023
Link:
https://doi.org/10.1109/SSE60056.2023.00049
RT T1 <cTitle>2023 IEEE International Conference on Software Services Engineering (SSE)</cTitle>: T1 <Title>Predicting Road Traffic Risks with CNN-and-LSTM Learning Over Spatio-Temporal and Multi-Feature Traffic Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10234335&Exemplar=1&LAN=DE A1 Lin, Kun-Yu A1 Liu, Pei-Yi A1 Wang, Po-Kai A1 Hu, Chih-Lin A1 Cai, Ying YR 2023 K1 Smart cities K1 Roads K1 Traffic control K1 Predictive models K1 Data models K1 Software K1 Road traffic K1 Spatio-temporal data K1 traffic risk prediction K1 machine learning K1 traffic information service K1 mobile application K1 intelligent transportation K1 mobile computing SP 305 OP 311 LK http://dx.doi.org/https://doi.org/10.1109/SSE60056.2023.00049 DO https://doi.org/10.1109/SSE60056.2023.00049 SF ELIB - SuUB Bremen
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