Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Qunsheng Ruan"'
Autor:
Shixuan Dai, Xiaojing Guo, Shi Liu, Liping Tu, Xiaojuan Hu, Ji Cui, QunSheng Ruan, Xin Tan, Hao Lu, Tao Jiang, Jiatuo Xu
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e29269- (2024)
Background: Metabolic associated fatty liver disease (MAFLD) is a widespread liver disease that can lead to liver fibrosis and cirrhosis. Therefore, it is essential to develop early diagnosic and screening methods. Methods: We performed a cross-secti
Externí odkaz:
https://doaj.org/article/15971f38648c4c3fa0787d9268f34705
Publikováno v:
Sensors, Vol 23, Iss 11, p 5059 (2023)
Network traffic anomaly detection is a key step in identifying and preventing network security threats. This study aims to construct a new deep-learning-based traffic anomaly detection model through in-depth research on new feature-engineering method
Externí odkaz:
https://doaj.org/article/de1e4d5eb3534d9c8da603aae5c7d2f6
Publikováno v:
Symmetry, Vol 13, Iss 2, p 290 (2021)
The traditional heterogeneous embedding method based on a random walk strategy does not focus on the random walk fundamentally because of higher-order Markov chains. One of the important properties of Markov chains is stationary distributions (SDs).
Externí odkaz:
https://doaj.org/article/cd742caa3b444c4785734ad9c8d9b194
Publikováno v:
Sensors & Materials; 2024, Vol. 36 Issue 10, Part 1, p4283-4295, 13p
Autor:
XIAOWEI CHEN, XIAO JIANG, LISHUANG ZHAN, SHIHUI GUO, QUNSHENG RUAN, GUOLIANG LUO, MINGHONG LIAO, YIPENG QIN
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Feb2024, Vol. 20 Issue 2, p1-19, 19p
Autor:
Xiaowei Chen, Xiao Jiang, Lishuang Zhan, Shihui Guo, Qunsheng Ruan, Guoliang Luo, Minghong Liao, Yipeng Qin
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications
Human motion tracking is a fundamental building block for various applications including computer animation, human-computer interaction, healthcare, etc. To reduce the burden of wearing multiple sensors, human motion prediction from sparse sensor inp
Model for Effectively Extracting Mixed Features and Classifying Emotions from Electroencephalograms.
Publikováno v:
Sensors & Materials; 2023, Vol. 35 Issue 7, Part 3, p2337-2354, 18p
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783031109850
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfb9f92b0fd19b2b8b8dbba9a5ac9f2c
https://doi.org/10.1007/978-3-031-10986-7_52
https://doi.org/10.1007/978-3-031-10986-7_52
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 35
In the intelligently processing of the tongue image, one of the most important tasks is to accurately segment the tongue body from a whole tongue image, and the good quality of tongue body edge processing is of great significance for the relevant ton