Zobrazeno 1 - 10
of 527
pro vyhledávání: '"Cai Biao"'
Many real-world networks contain rich textual information in the edges, such as email networks where an edge between two nodes is an email exchange. The useful textual information carried in the edges is often discarded in most network analyses, resu
Externí odkaz:
http://arxiv.org/abs/2405.15038
Dynamic networks have been increasingly used to characterize brain connectivity that varies during resting and task states. In such characterizations, a connectivity network is typically measured at each time point for a subject over a common set of
Externí odkaz:
http://arxiv.org/abs/2303.12677
Publikováno v:
MATEC Web of Conferences, Vol 213, p 04001 (2018)
The centralized cooling system of a certain type of oil ship is a large-scale complex fluid network system. Fluid system simulation software (FLOWMASTER) was used to establish simulation model for steady operating conditions. The design of central co
Externí odkaz:
https://doaj.org/article/39978f1534654b7fa4d637f23b9151fc
There is a growing interest in cell-type-specific analysis from bulk samples with a mixture of different cell types. A critical first step in such analyses is the accurate estimation of cell-type proportions in a bulk sample. Although many methods ha
Externí odkaz:
http://arxiv.org/abs/2209.04038
Publikováno v:
In Computers in Biology and Medicine December 2024 183
Publikováno v:
In Knowledge-Based Systems 9 October 2024 301
Autor:
Chen, Maowen, Yu, Rui, Mu, Caiyun, Wang, Zijian, Li, Jiajie, Shen, Xinkun, He, Ye, Cai, Biao, Zheng, Xudong
Publikováno v:
In Applied Materials Today October 2024 40
Autor:
Shen, Jiangnan, Zhang, Yiliang, Zhu, Zhaohan, Cheng, Youshu, Cai, Biao, Zhao, Yize, Zhao, Hongyu
Publikováno v:
In NeuroImage 15 August 2024 297
Autor:
Sparks, Tay, Kuksenko, Viacheslav, Gorley, Michael, Hoffmann, Jan, Chiu, Yu-Lung, Connolley, Thomas, Rieth, Michael, Wang, Yiqiang, Cai, Biao
Publikováno v:
In Acta Materialia 1 June 2024 271
We consider the problem of jointly modeling and clustering populations of tensors by introducing a high-dimensional tensor mixture model with heterogeneous covariances. To effectively tackle the high dimensionality of tensor objects, we employ plausi
Externí odkaz:
http://arxiv.org/abs/2104.07773