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1
Traffic Analytics Development Kits (TADK): Enable Real-Time..:
, In:
2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)
,
Qiu, Kun
;
Chang, Harry
;
Wang, Ying
... - p. 392-398 , 2022
Link:
https://doi.org/10.1109/ICUFN55119.2022.9829628
RT T1 <cTitle>2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)</cTitle>: T1 <Title>Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9829628&Exemplar=1&LAN=DE A1 Qiu, Kun A1 Chang, Harry A1 Wang, Ying A1 Yu, Xiahui A1 Zhu, Wenjun A1 Liu, Yingqi A1 Ma, Jianwei A1 Li, Weigang A1 Liu, Xiaobo A1 Dai, Shuo YR 2022 SN 2165-8536 K1 5G mobile communication K1 Scalability K1 Telecommunication traffic K1 Feature extraction K1 Throughput K1 Real-time systems K1 Malware SP 392 OP 398 LK http://dx.doi.org/https://doi.org/10.1109/ICUFN55119.2022.9829628 DO https://doi.org/10.1109/ICUFN55119.2022.9829628 SF ELIB - SuUB Bremen
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