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Titlebook: Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health; International 2020 C Huansheng Ning,Feifei Shi Conference proceed

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Conference proceedings 2020ng, China, in December 2020.*.The 13 full papers presented were carefully reviewed and selected from 36 submissions. The papers are grouped in the following topics: machine learning and ubiquitous and intelligent computing...*. The conference was held virtually due to the COVID-19 pandemic..
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Conference proceedings 2020l Conference on Cyber-Living, Cyber-Syndrome, and Cyber-Health, CyberLife 2020, held under the umbrella of the 2020 Cyberspace Congress, held in Beijing, China, in December 2020.*.The 13 full papers presented were carefully reviewed and selected from 36 submissions. The papers are grouped in the fol
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1865-0929 ternational Conference on Cyber-Living, Cyber-Syndrome, and Cyber-Health, CyberLife 2020, held under the umbrella of the 2020 Cyberspace Congress, held in Beijing, China, in December 2020.*.The 13 full papers presented were carefully reviewed and selected from 36 submissions. The papers are grouped
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Design of AAV Vectors for Delivery of RNAisolve the health problem of the dust removal fan. The deep learning network VAE can map the features of the data to hidden variables, and the LSTM network can extract the time dependence between the data. Experiments show that the VAE-LSTM network is suitable for dust removal fans and has a good effect.
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Wolfgang Haupt,Peter Eckersley,Kristine Kernts process. The experimental results demonstrate that the centralized machine learning often receives a far better training result under the same number of training samples compared with federated learning. Furthermore, increasing the communication frequency between the server and clients can improve the learning result.
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