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AI-Enabled Technologies that Fight the Coronavirus Outbreak Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 23-45
Authors:  Fong,Simon James;  Dey,Nilanjan;  Chaki,Jyotismita
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Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 89-98
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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Prediction for Decision Support During the COVID-19 Pandemic Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 1-13
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 55-68
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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Social Group Optimization–Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images Journal article
Cognitive Computation, 2020,Volume: 12,Issue: 5,Page: 1011-1023
Authors:  Dey,Nilanjan;  Rajinikanth,V.;  Fong,Simon James;  Kaiser,M. Shamim;  Mahmud,Mufti
Favorite |  | TC[WOS]:16 TC[Scopus]:20 | Submit date:2021/03/09
COVID-19 infection  CT scan image  Fused feature vector  KNN classifier  Segmentation and detection accuracy  
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction Journal article
Applied Soft Computing Journal, 2020,Volume: 93
Authors:  Fong,Simon James;  Li,Gloria;  Dey,Nilanjan;  Crespo,Rubén González;  Herrera-Viedma,Enrique
Favorite |  | TC[WOS]:38 TC[Scopus]:58 | Submit date:2021/03/09
2019-nCoV  Coronavirus  COVID-19  Decision support  Monte Carlo simulation  
Deep back propagation–long short-term memory network based upper-limb sEMG signal classification for automated rehabilitation Journal article
Biocybernetics and Biomedical Engineering, 2020,Volume: 40,Issue: 3,Page: 987-1001
Authors:  Wang,Ying;  Wu,Qun;  Dey,Nilanjan;  Fong,Simon;  Ashour,Amira S.
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Back-propagation  Deep learning  Long short-term memory neural networks  Rehabilitation  sEMG  Waveform segmentation  
The prevalence, perceptions and behaviors associated with traditional/complementary medicine use by breastfeeding women living in Macau: A cross-sectional survey study Journal article
BMC Complementary Medicine and Therapies, 2020,Volume: 20,Issue: 1
Authors:  Zheng,Tingyun;  Chen,Weijie;  Hu,Hao;  Wang,Yitao;  Harnett,Joanna E.;  Lam Ung,Carolina Oi
Favorite |  | TC[WOS]:2 TC[Scopus]:2 | Submit date:2021/03/01
Breast Feeding  Complementary Medicine  Health Personnel  Lactation  Macau  Survey  Traditional Medicine  
Total-Effect Test is Superfluous for Establishing Complementary Mediation Journal article
Statistica Sinica, 2020
Authors:  Yingkai Jiang;  Xinshu Zhao;  Lixing Zhu;  Jun S. Liu;  Ke Deng
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Complementary Mediation  Hypothesis Testing  Linear Model  Mediation Analysis  Total-effect Test  
Multicriteria supplier selection using acceptability analysis Journal article
Advances in Mechanical Engineering, 2019,Volume: 11,Issue: 10
Authors:  Zhang,Qian;  Lai,Kin Keung;  Yen,Jorome
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multiple criteria decision-making  rank  stochastic multicriteria acceptability analysis  Supplier selection