Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Xiaofang LI"'
Autor:
Qinrui Dai, Yundong Sun, Ning Cao, Dongjie Zhu, Donglei Lu, Rongning Qu, Xiaofang Li, Haiwen Du, Yansong Wang, Gregory M. P. O'Hare
Publikováno v:
Intelligent Automation & Soft Computing. 32:1141-1151
Publikováno v:
Information Sciences. 579:368-387
With the rapid development of societal and technological paradigms, large-scale group decision making becomes an emerging topic. In conventional group decision making methods, it is often assumed that all experts are independent. However, with the ex
Publikováno v:
IEEE Access, Vol 9, Pp 20968-20976 (2021)
In order to ensure the security of logistics information and to query information quickly and efficiently, using searchable encryption algorithms, combined with the characteristics of the blockchain, a searchable and encrypted logistics information b
Autor:
Donglei Lu, Haiwen Du, Yansong Wang, Ning Cao, Helen Min Zhou, Yundong Sun, Dongjie Zhu, Rongning Qu, Xiaofang Li
Publikováno v:
Computer Systems Science and Engineering. 38:339-350
Autor:
Ye Yang, Xiaofang Li, Dongjie Zhu, Haiwen Du, Yansong Wang, W. Tian, Yundong Sun, Hao Hu, Ning Cao, Gregory M. P. O'Hare
Publikováno v:
Intelligent Automation & Soft Computing. 29:481-494
Autor:
Xuefeng Piao, Pingping Yu, Ning Cao, Dongjie Zhu, Rongning Qu, Xiaofang Li, Yundong Sun, Russell Higgs, Haiwen Du
Publikováno v:
Computers, Materials & Continua. 63:1343-1356
Publikováno v:
IEEE Access, Vol 8, Pp 69754-69762 (2020)
In order to trace the logistics information and make use of the characteristics of the Consortium Blockchain, a logistics information traceability model based on the Consortium chain is proposed. The research focuses on two key technologies in the mo
Publikováno v:
Journal of Real-Time Image Processing. 17:1885-1909
Super-resolution is generally defined as a process to obtain high-resolution images form inputs of low-resolution observations, which has attracted quantity of attention from researchers of image-processing community. In this paper, we aim to analyze
Publikováno v:
Signal Processing: Image Communication. 79:13-23
Convolution Neural Networks have been widely applied in single image super-resolution (SR). Recent works have shown the superior performance of deep networks for SR tasks. With just an increase in the model’s depth, more features and parameters (wh
Publikováno v:
2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
Stereo depth estimation based on learning with CNNs has become the dominant paradigm due to their significant leap in performance. However, since the inconsistency of the distribution between the training data (synthetic image) and the actual scene,