Zobrazeno 1 - 10
of 17
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
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
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
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
Autor:
Feng Tao, Chao Gu, Na Li, Ying Ying, Yongzhi Feng, Dan Ni, Qi Zhang, Qinfeng Xiao, Tao, Feng, Gu, Chao, Li, Na, Ying, Ying, Feng, Yongzhi, Ni, Dan, Zhang, Qi, Xiao, Qinfeng
Publikováno v:
Medicine; 7/9/2021, Vol. 100 Issue 27, p1-5, 5p
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
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