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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  
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  
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  
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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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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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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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  
Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020,Volume: 35,Issue: 5,Page: 3869-3884
Authors:  Can Wan;  Changfei Zhao;  Yonghua Song
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Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization