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ΔQ Generative Models: Modeling Time-Variation in Network Qu..:
, In:
2022 18th International Conference on Network and Service Management (CNSM)
,
Ivar Teigen, Bjorn
;
Davies, Neil
;
Thompson, Peter
... - p. 233-239 , 2022
Link:
https://doi.org/10.23919/CNSM55787.2022.9965128
RT T1 <cTitle>2022 18th International Conference on Network and Service Management (CNSM)</cTitle>: T1 <Title>ΔQ Generative Models: Modeling Time-Variation in Network Quality</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9965128&Exemplar=1&LAN=DE A1 Ivar Teigen, Bjorn A1 Davies, Neil A1 Thompson, Peter A1 Olav Ellefsen, Kai A1 Skeie, Tor A1 Torresen, Jim YR 2022 SN 2165-963X K1 Measurement K1 Analytical models K1 Computational modeling K1 Emulation K1 Machine learning K1 Markov processes K1 Attenuation K1 Computer network performance K1 ΔQ K1 Quality attenuation K1 Buffer sizing SP 233 OP 239 LK http://dx.doi.org/https://doi.org/10.23919/CNSM55787.2022.9965128 DO https://doi.org/10.23919/CNSM55787.2022.9965128 SF ELIB - SuUB Bremen
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