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Gaoshan Bi
Gaoshan Bi
在 sheffield.ac.uk 的电子邮件经过验证
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引用次数
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Feasibility study of mitigation and suppression strategies for controlling COVID-19 outbreaks in London and Wuhan
P Yang, J Qi, S Zhang, X Wang, G Bi, Y Yang, B Sheng, G Yang
PloS one 15 (8), e0236857, 2020
442020
Multimodal Wearable Intelligence for Dementia Care in Healthcare 4.0: A Survey
P Yang, G Bi, J Qi, X Wang, Y Yang, L Xu
312021
The effect of multiple interventions to balance healthcare demand for controlling COVID-19 outbreaks: a modelling study
P Yang, G Yang, J Qi, B Sheng, Y Yang, S Zhang, G Bi, X Mao
Scientific reports 11 (1), 3110, 2021
262021
Feasibility study of mitigation and suppression intervention strategies for controlling covid-19 outbreaks in london and wuhan
Y Po, Q Jun, Z Shuhao, W Xulong, B Gaoshan, Y Yun, S Bin
https://www. medrxiv. org/content/medrxiv/early/2020/04/04/2020.04. 01 …, 2020
72020
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application
S Zhang, G Bi, J Qi, Y Yang, X Kong, F Nan, M Zhou, P Yang
IEEE Internet of Things Journal 10 (8), 6742-6755, 2022
52022
An extended COVID-19 epidemiological model with vaccination and multiple interventions for controlling COVID-19 outbreaks in the UK
S Zhang, G Bi, Y Yang, J Qi, S Li, X Mao, R Peng, P Yang
medRxiv, 2021.03. 10.21252748, 2021
52021
Rolling Interventions for Controlling COVID-19 Outbreaks in the UK to Reduce Healthcare Demand
P Yang, J Qi, Y Yang, S Zhang, G Bi
42020
Feasibility of Controlling COVID-19 Outbreaks in the UK by Rolling Interventions
P Yang, J Qi, S Zhang, X Wang, G Bi, Y Yang, B Sheng, X Mao
medRxiv, 2020.04. 05.20054429, 2020
42020
Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression
X Wang, G Bi, Y Zhang, J Qi, Y Yang, P Yang
2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020
32020
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