Zobrazeno 1 - 6 of 6 pro vyhledávání: '"Hexiong Chen"'
2
Optimization Method of Charging Station Layout Based on Internet of Things Under the Background of Sustainable Development
Autor: Yingjun He, Shenzhang Li, Hexiong Chen, Xiu Liu, Lin Wang, Shaolong Li
Publikováno v: Distributed Generation & Alternative Energy Journal.
In the context of sustainable development, the research on the optimization method of charging station layout based on the Internet of things can effectively shorten the distance between the charging demand point and the charging station candidate po
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9cc4be587d66ff52b00c517e3e94c91d
https://doi.org/10.13052/dgaej2156-3306.3849
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3
Learning Representations Using RNN Encoder-Decoder for Edge Security Control
Autor: Wei Guo, Hexiong Chen, Feilu Hang, Yingjun He, Jun Zhang
Publikováno v: Computational Intelligence and Neuroscience. 2022:1-8
Whitelisting is a widely used method in the security field. However, due to the rapid development of the Internet, the traditional whitelisting method cannot promote the security of increasing Internet access. In recent years, with the success of mac
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2804dad668da652d01121102879a5ad9
https://doi.org/10.1155/2022/4199044
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4
AdaBoost Algorithm in Trustworthy Network for Anomaly Intrusion Detection
Autor: Wei Guo, Zhenyu Luo, Hexiong Chen, Feilu Hang, Jun Zhang, Hilal Al Bayatti
Publikováno v: Applied Mathematics and Nonlinear Sciences.
Boosting is an ensemble learning method that combines a set of weak learners into a strong learner to minimize training errors. AdaBoost algorithm, as a typical boosting algorithm, transforms weak learners or predictors to strong predictors in order
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fa1be5a9c94832d355daf5145fefe431
https://doi.org/10.2478/amns.2022.2.0171
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5
Random Fourier Approximation of the Kernel Function in Programmable Networks
Autor: Wei Guo, Yue He, Hexiong Chen, Feilu Hang, Jun Zhang, Samer Shorman
Publikováno v: Applied Mathematics and Nonlinear Sciences.
Random Fourier features represent one of the most influential and wide-spread techniques in machine learning to scale up kernel algorithms. As the methods based on random Fourier approximation of the kernel function can overcome the shortcomings of m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::57156c6a7183bc0b2f343184f3d76000
https://doi.org/10.2478/amns.2022.2.0172
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6
Akademický článek
Learning Representations Using RNN Encoder-Decoder for Edge Security Control.
Autor: Guo, Wei1 (AUTHOR), Chen, Hexiong1 (AUTHOR), Hang, Feilu1 (AUTHOR), He, Yingjun1 (AUTHOR), Zhang, Jun2 (AUTHOR)
Publikováno v: Computational Intelligence & Neuroscience. 5/23/2022, p1-8. 8p.
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