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1
Machine Learning-based Multi-Class Traffic Management for S..:
, In:
Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
,
Jiang, Weiwei
;
Han, Haoyu
;
He, Miao
. - p. 694-699 , 2023
Link:
https://dl.acm.org/doi/10.1145/3594739.3612909
RT T1 <cTitle>Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing</cTitle>: T1 <Title>Machine Learning-based Multi-Class Traffic Management for Smart Grid Communication Network</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3612909&Exemplar=1&LAN=DE A1 Jiang, Weiwei A1 Han, Haoyu A1 He, Miao A1 Gu, Weixi PB ACM YR 2023 K1 Machine learning K1 smart grid K1 traffic management K1 Hardware K1 Power and energy K1 Energy distribution K1 Smart grid K1 Human-centered computing K1 Ubiquitous and mobile computing K1 Computing methodologies K1 Machine learning SP 694 OP 699 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3594739.3612909 DO https://dl.acm.org/doi/10.1145/3594739.3612909 SF ELIB - SuUB Bremen
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