Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Zhongmin Pei"'
Publikováno v:
IEEE Access, Vol 9, Pp 78452-78462 (2021)
The reinforcement learning framework for multi-hop relational paths is one of the effective methods for solving knowledge graph incompletion. However, these models are associated with limited performances attributed to delayed rewards and far-fetched
Externí odkaz:
https://doaj.org/article/3859424523884c2eb82937a04b09374b
Design Conception and Simulation of Space Information Network Structure Based on Community Structure
Publikováno v:
天地一体化信息网络, Vol 1, Pp 81-86 (2020)
Focusing on the integrated development of satellite business, based on the idea of clustering and complex network theories and methods, a design concept of space information network structure based on community structure was proposed and a virtual ne
Externí odkaz:
https://doaj.org/article/0804146774b048cdbb1ac331fb6ff8d3
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2513 (2023)
In this paper, a novel secure image signal transmission scheme was proposed in wireless systems, in which the poly-polarization filtering and the orthogonal matrix (PPF-OM) were combined to protect the image signal and eliminate the polarization depe
Externí odkaz:
https://doaj.org/article/91da5afae3244ac7b16ec75ccffbccf0
Publikováno v:
Sensors, Vol 9, Iss 4, Pp 2836-2850 (2009)
Severe natural conditions and complex terrain make it difficult to apply precise localization in underground mines. In this paper, an anchor-free localization method for mobile targets is proposed based on non-metric multi-dimensional scaling (Multi-
Externí odkaz:
https://doaj.org/article/fcf1cd1d7bb74434ae687ea20d06f901
Publikováno v:
2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ee7e42ef90173c80135efbfe6ef850d
https://doi.org/10.1109/nnice58320.2023.10105766
https://doi.org/10.1109/nnice58320.2023.10105766
Publikováno v:
IEEE Access, Vol 9, Pp 78452-78462 (2021)
The reinforcement learning framework for multi-hop relational paths is one of the effective methods for solving knowledge graph incompletion. However, these models are associated with limited performances attributed to delayed rewards and far-fetched
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cde44c090678337ee5e1cad966df029f
https://ieeexplore.ieee.org/document/9440923/
https://ieeexplore.ieee.org/document/9440923/
Publikováno v:
2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80b8780976a9ca4b7c107dffa2c2b0eb
https://doi.org/10.1117/12.2638937
https://doi.org/10.1117/12.2638937
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1387-1392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee9b12b2be6644e98e4ea955dec6f8df
https://doi.org/10.1587/transfun.e102.a.1387
https://doi.org/10.1587/transfun.e102.a.1387
Autor:
Zhangkai Luo, Zhongmin Pei
Publikováno v:
Signal Processing. 196:108477
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07c25265ed5bab9cea23de6980a69dcb
https://doi.org/10.1016/j.sigpro.2022.108477
https://doi.org/10.1016/j.sigpro.2022.108477
Publikováno v:
2020 IEEE 6th International Conference on Computer and Communications (ICCC).
In the knowledge graph question answering, the graph neural network can be used to encode the subgraph nodes related to the question entity to select the correct answer node. However, existing researches mainly focus on the modalities for the node en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ae23fe56a053d988600c94ed3ef01aa
https://doi.org/10.1109/iccc51575.2020.9345000
https://doi.org/10.1109/iccc51575.2020.9345000