Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Xiang Fu Meng"'
Autor:
Hong-Shi Yu, Xiang-Fu Meng
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Constructing an efficient and accurate epilepsy detection system is an urgent research task. In this paper, we developed an EEG-based multi-frequency multilayer brain network (MMBN) and an attentional mechanism based convolutional neural net
Externí odkaz:
https://doaj.org/article/bb6087b55a5f48c5be4901594448abfc
Autor:
Hong-Shi Yu, Xiang-Fu Meng
Constructing an efficient and accurate epilepsy detection system is an urgent research task. In this paper, we developed an EEG-based multi-frequency multilayer brain network (MMBN) and an attentional mechanism based convolutional neural network (AM-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d4111903ef8872c0db6f8bbdf89699d
https://doi.org/10.21203/rs.3.rs-2136000/v1
https://doi.org/10.21203/rs.3.rs-2136000/v1
Autor:
Yu-Heng Deng, Teng-Fei Chen, Jing He, Chong-Qing Wan, Yi-Fan Wang, Lin-Yang Wang, Guo Wang, Yi-Shi Wu, Xiang-Fu Meng, Hui Gao
Publikováno v:
ACS applied materialsinterfaces. 13(17)
Two new sets of UiO-Zr metal-organic framework (MOF) bearing mixed linkers BDC-(SCH3)2 and BDC-(SOCH3)2 that have different band gaps and edges were prepared through post oxidation and direct methods, namely, UiO-66-(SCH3)2-xh (x = 4, 9, 12 oxidation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::439de3379638da5cac9f76ce8f45077e
https://pubmed.ncbi.nlm.nih.gov/33896173
https://pubmed.ncbi.nlm.nih.gov/33896173
Diffusion weighted imaging for the differential diagnosis of benign vs. malignant ovarian neoplasms.
Publikováno v:
Oncology Letters. Jun2016, Vol. 11 Issue 6, p3795-3802. 8p.
Publikováno v:
Oncology Letters. 11:3795-3802
In order to assess the diagnostic accuracy of diffusion weighted imaging (DWI) in differentiating between benign and malignant ovarian neoplasms, a systemic meta-analysis was conducted. Relevant studies were retrieved from scientific literature datab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ac25bc121506281e474747273637e96
https://doi.org/10.3892/ol.2016.4445
https://doi.org/10.3892/ol.2016.4445
Publikováno v:
Annals of Data Science. 2:301-316
The data sparsity and prediction quality are recognized as the key challenges in the existing recommender Systems. Most of the existing recommender systems depend on collaborating flitering (CF) method which mainly leverages the user-item rating matr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::457c633be19c764226d1cd77f35c0809
https://doi.org/10.1007/s40745-015-0056-6
https://doi.org/10.1007/s40745-015-0056-6
Publikováno v:
Journal of Computer Applications. 32:1126-1129
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6331a34b0c7fbaf71a4565918c595148
https://doi.org/10.3724/sp.j.1087.2012.01126
https://doi.org/10.3724/sp.j.1087.2012.01126
Publikováno v:
Chinese Journal of Computers. 34:812-824
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dbb0be7ca432efc52aa88cbfba47834
https://doi.org/10.3724/sp.j.1016.2011.00812
https://doi.org/10.3724/sp.j.1016.2011.00812
Publikováno v:
Materials Science Forum. 694:234-238
In this paper, polyacrylic acid (PAA)/TiO2 nanocomposites with photocatalytic activity were prepared via in-situ growth of anatase TiO2 nanoparticles in polyacrylic acid matrix using a simple hydrothermal method. First, water-soluble titania xerogel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dade0fe0a38f4de31c9fd6cbf00a7ab
https://doi.org/10.4028/www.scientific.net/msf.694.234
https://doi.org/10.4028/www.scientific.net/msf.694.234
Publikováno v:
Advanced Materials Research. 267:811-815
The XML keyword search has been used widely in the application of XML documents. Most of the XML keyword search approaches are based on the LCA (lowest common ancestor) or its variants, which usually leads to the un-ideal recall and precision. This p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cd14a99246d05dbb313232e7b3dfd4d
https://doi.org/10.4028/www.scientific.net/amr.267.811
https://doi.org/10.4028/www.scientific.net/amr.267.811