Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Qinfeng Xiao"'
Autor:
Rui Ge, Guoying Zhu, Min Tian, Zhigang Hou, Weizhe Pan, Hao Feng, Kui Liu, Qinfeng Xiao, Zhongwen Chen
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundTuberculosis (TB) is recognized as a significant global public health concern. Still, there remains a dearth of comprehensive evaluation regarding the specific indicators and their influencing factors of delay for adolescents and young adul
Externí odkaz:
https://doaj.org/article/8089821a10534c6f95902297dffb47c3
Autor:
Qinfeng Xiao, Jing Wang
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5591 (2024)
Optimizing spaced repetition schedules is of great importance for enhancing long-term memory retention in both real-world applications, e.g., online learning platforms, and academic applications, e.g., cognitive science. Traditional methods tackle th
Externí odkaz:
https://doaj.org/article/5fd83389316c46f5872a5cf99576c2b6
Publikováno v:
Entropy, Vol 23, Iss 2, p 201 (2021)
We address the problem of unsupervised anomaly detection for multivariate data. Traditional machine learning based anomaly detection algorithms rely on specific assumptions of normal patterns and fail to model complex feature interactions and relatio
Externí odkaz:
https://doaj.org/article/cd6fba2d03c04916ad93ea8eecb6948d
Publikováno v:
IEEE Signal Processing Letters. 29:189-193
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f19f62e15eee0942b9665273deb4900
https://doi.org/10.1109/lsp.2021.3130826
https://doi.org/10.1109/lsp.2021.3130826
Publikováno v:
Japanese Journal of Infectious Diseases. 74:76-78
We report on a hospitalized patient with 2019 novel coronavirus disease whose fecal samples tested negative 22 days after respiratory samples tested negative, highlighting that the duration of viral shedding is longer than that previously expected. C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::516a2ca2ef059d35cfa07b6f5af6889b
https://doi.org/10.7883/yoken.jjid.2020.265
https://doi.org/10.7883/yoken.jjid.2020.265
Publikováno v:
ICASSP
The purpose of this paper is to learn efficient representations from raw electroencephalogram (EEG) signals for sleep stage classification via self-supervised learning (SSL). Although supervised methods have gained favorable performance, they heavily
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::672afee0dfc554023079dd7f6be337aa
https://doi.org/10.1109/icassp39728.2021.9414752
https://doi.org/10.1109/icassp39728.2021.9414752
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2021 (2021)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Objectives. This study is aimed at exploring the relationship of the viral load of coronavirus disease 2019 (COVID-19) with lymphocyte count, neutrophil count, and C-reactive protein (CRP) and investigating the dynamic change of patients’ viral loa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7924618bd872d7fe212825f1afd29deb
https://doaj.org/article/4d22eb4a81374ddd88be98990a41ebec
https://doaj.org/article/4d22eb4a81374ddd88be98990a41ebec
Publikováno v:
Radiation research. 194(4)
Simulations of deoxyribonucleic acid (DNA) molecular damage use the traversal algorithm that has the disadvantages of being time-consuming, slowly converging, and requiring high-performance computer clusters. This work presents an improved version of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::719ce66fb997cb97c1c8ffb062e020c3
https://pubmed.ncbi.nlm.nih.gov/32931557
https://pubmed.ncbi.nlm.nih.gov/32931557
Publikováno v:
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. 36(4)
The deoxyribonucleic acid (DNA) molecule damage simulations with an atom level geometric model use the traversal algorithm that has the disadvantages of quite time-consuming, slow convergence and high-performance computer requirement. Therefore, this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0926312279638de2a417dece5ee058e0
https://pubmed.ncbi.nlm.nih.gov/31441265
https://pubmed.ncbi.nlm.nih.gov/31441265
Publikováno v:
Entropy, Vol 23, Iss 201, p 201 (2021)
Entropy
Volume 23
Issue 2
Entropy
Volume 23
Issue 2
We address the problem of unsupervised anomaly detection for multivariate data. Traditional machine learning based anomaly detection algorithms rely on specific assumptions of normal patterns and fail to model complex feature interactions and relatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5f8f0c1a6b789fb06ee21781fcffc94
https://doi.org/10.3390/e23020201
https://doi.org/10.3390/e23020201