Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Fengjing Shao"'
Publikováno v:
Mathematics, Vol 12, Iss 6, p 914 (2024)
Significant public opinion events often trigger pronounced fluctuations in online discourse. While existing models have been extensively employed to analyze the propagation of public opinion, they frequently overlook the intricacies of information di
Externí odkaz:
https://doaj.org/article/7fe7b0aa25614e1f9979d07a17c5a82e
Publikováno v:
IEEE Access, Vol 10, Pp 64465-64472 (2022)
Graph convolutional neural networks have received a lot of attention in various tasks dealing with graph data by aggregating information from neighboring nodes and passing node information. Many recent studies have looked at the impact of topological
Externí odkaz:
https://doaj.org/article/9668ae25ee624070a5fe0cca593557e5
Publikováno v:
IEEE Access, Vol 7, Pp 50630-50635 (2019)
In order to solve the problem of safe transmission of telemedicine information in complex field environment, a new communication protocol of wireless sensor network (WSN) is designed in this paper. After the design of the communication protocol, the
Externí odkaz:
https://doaj.org/article/548286bba7eb4f3c890d9280ed71ccba
Publikováno v:
IEEE Access, Vol 7, Pp 112363-112374 (2019)
To address cold start problem by utilizing only rating information, this paper proposes an incremental group-specific framework for recommender systems. Firstly, a decoupled normalization method is introduced to extract preference patterns from ratin
Externí odkaz:
https://doaj.org/article/be4fb83c8b2a44a18f0b9d46a373f35d
Autor:
Haiqing Yu, Jun Ji, Ping Li, Fengjing Shao, Shunyao Wu, Yi Sui, Shujing Li, Fengjiao He, Jinming Liu
Publikováno v:
Advances in Polymer Technology, Vol 2020 (2020)
Soft sensor techniques have been widely adopted in chemical industry to estimate important indices that cannot be online measured by hardware sensors. Unfortunately, due to the instinct time-variation, the small-sample condition and the uncertainty c
Externí odkaz:
https://doaj.org/article/55896710cd654c0e86d4635e12ddfb64
Publikováno v:
Sensors, Vol 21, Iss 20, p 6735 (2021)
Timely and accurate traffic speed predictions are an important part of the Intelligent Transportation System (ITS), which provides data support for traffic control and guidance. The speed evolution process is closely related to the topological struct
Externí odkaz:
https://doaj.org/article/82afcb0e973b492580ee4d27d2d8afcb
Autor:
Shunyao Wu, Fengjing Shao, Jun Ji, Rencheng Sun, Rizhuang Dong, Yuanke Zhou, Shaojie Xu, Yi Sui, Jianlong Hu
Publikováno v:
PLoS ONE, Vol 10, Iss 2, p e0116505 (2015)
Based on the hypothesis that the neighbors of disease genes trend to cause similar diseases, network-based methods for disease prediction have received increasing attention. Taking full advantage of network structure, the performance of global distan
Externí odkaz:
https://doaj.org/article/c290c32eaa32461582c1328e21c2c2ad
Publikováno v:
Electronics
Volume 12
Issue 3
Pages: 673
Volume 12
Issue 3
Pages: 673
The table recognition model rows and columns aggregated network (RCANet) uses a semantic segmentation approach to recognize table structure, and achieves better performance in table row and column segmentation. However, this model uses ResNet18 as th
Publikováno v:
Electronics; Volume 11; Issue 15; Pages: 2432
Traffic flow prediction provides support for travel management, vehicle scheduling, and intelligent transportation system construction. In this work, a graph space–time network (GSTNCNI), incorporating complex network feature information, is propos
Autor:
Shujing Li, Jinming Liu, Ping Li, Fengjiao He, Haiqing Yu, Yi Sui, Shunyao Wu, Jun Ji, Fengjing Shao
Publikováno v:
Advances in Polymer Technology, Vol 2020 (2020)
Soft sensor techniques have been widely adopted in chemical industry to estimate important indices that cannot be online measured by hardware sensors. Unfortunately, due to the instinct time-variation, the small-sample condition and the uncertainty c