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1 Ergebnisse
1
Fine-grained IoT device identification method based on self..:
, In:
2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
,
Peng, Kai
;
Lu, Tong
;
Mei, Song
... - p. 145-152 , 2023
Link:
https://doi.org/10.1109/ISPA-BDCloud-SocialCom-Sustain..
RT T1 <cTitle>2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)</cTitle>: T1 <Title>Fine-grained IoT device identification method based on self-supervised ViT</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10491633&Exemplar=1&LAN=DE A1 Peng, Kai A1 Lu, Tong A1 Mei, Song A1 Xue, Nannan A1 Shen, Yongchao A1 Hu, Menglan YR 2023 K1 Performance evaluation K1 Self-supervised learning K1 Predictive models K1 Transformers K1 Feature extraction K1 Data models K1 Internet of Things K1 device identification K1 deep learning K1 self-supervised learning K1 Vision in Transformer SP 145 OP 152 LK http://dx.doi.org/https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00052 DO https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00052 SF ELIB - SuUB Bremen
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