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Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales Journal article
Concurrency Computation, 2021,Volume: 33,Issue: 6
Authors:  Zhao,Baoxin;  Xu,Cheng Zhong;  Liu,Siyuan;  Zhao,Juanjuan;  Li,Li
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bottlenecks identification  influence maximization  traffic congestion diffusion  traffic flow influence  
The cost-effectiveness of once-weekly semaglutide compared with other GLP-1 receptor agonists in type 2 Diabetes: a systematic literature review Journal article
Expert Review of Pharmacoeconomics and Outcomes Research, 2021
Authors:  Ruan,Zhen;  Yang,Lisong;  Shi,Honghao;  Yue,Xiaomeng;  Wang,Yao;  Liang,Miaoying;  Hu,Hao
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cost-effectiveness analysis  Diabetes  once-weekly semaglutide  review  
A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak Journal article
Applied Intelligence, 2021
Authors:  Liu,Xian Xian;  Fong,Simon James;  Dey,Nilanjan;  Crespo,Rubén González;  Herrera-Viedma,Enrique
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Asymptomatic cases  COVID-19  Disease transmission  Enhanced surveillance  Interventions  Novel coronavirus  Risk assessment  SEAIRD  SEIR  Severity  
Learning a Deep Agent to Predict Head Movement in 360-Degree Images Journal article
ACM Transactions on Multimedia Computing, Communications and Applications, 2021,Volume: 16,Issue: 4
Authors:  Zhu,Yucheng;  Zhai,Guangtao;  Min,Xiongkuo;  Zhou,Jiantao
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360 degree  deep reinforcement learning (DRL)  head movement prediction  omnidirectional  panoramic  saliency  VR  
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives Journal article
Advanced Engineering Informatics, 2021,Volume: 47
Authors:  Ng,Kam K.H.;  Chen,Chun Hsien;  Lee,C. K.M.;  Jiao,Jianxin (Roger);  Yang,Zhi Xin
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Adaptive decision making  Artificial intelligence  Innovative robotic process automation  Intelligent automation  
Epidemiology Compartmental Models—SIR, SEIR, and SEIR with Intervention Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 15-39
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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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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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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Global research on artemisinin and its derivatives: Perspectives from patents Journal article
Pharmacological Research, 2020,Volume: 159
Authors:  Liu,Kunmeng;  Zuo,Huali;  Li,Guoguo;  Yu,Hua;  Hu,Yuanjia
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Artemisinin  Artemisinin derivatives  Patent citation network  Patent landscape  
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
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2019-nCoV  Coronavirus  COVID-19  Decision support  Monte Carlo simulation