Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Changqing Gong"'
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-17
Publikováno v:
The Journal of Supercomputing.
Publikováno v:
The Journal of Supercomputing.
Publikováno v:
The Journal of Supercomputing. 78:16876-16897
Publikováno v:
The Journal of Supercomputing. 78:15381-15403
Publikováno v:
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI).
Publikováno v:
European Journal of Environmental and Civil Engineering. 26:6583-6604
For large LNG storage tanks, the thermal load has a very important influence on the failure mode of the thin-walled spherical dome. However, the traditional calculation of thermal stress is very co...
Using global optimization algorithm to optimize the initial weights and thresholds of traditional neural network model can effectively address the problems of premature convergence and lower accuracy. However, the shortcomings such as slower converge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1334b04e128f493d78da7025b2ffd7d5
https://doi.org/10.21203/rs.3.rs-2003062/v1
https://doi.org/10.21203/rs.3.rs-2003062/v1
Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks
Autor:
Geyong Min, Changqing Gong, Ahmed Al-Dubai, Weiliang Zhao, Liang Zhao, Ammar Hawbani, Albert Y. Zomaya
Publikováno v:
IEEE Transactions on Wireless Communications. 20:2991-3004
To provide efficient networking services at the edge of Internet-of-Vehicles (IoV), Software-Defined Vehicular Network (SDVN) has been a promising technology to enable intelligent data exchange without giving additional duties to the resource constra
Publikováno v:
The Journal of Supercomputing. 77:12630-12646
Prediction models are used to prevent and prepare for corresponding events according to various types of data generated in production. Aiming at the problems of lower predictive accuracy and slower convergent speed of the existing prediction models,