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Waiting Cost Based Long-Run Network Investment Decision-Making under Uncertainty Journal article
IEEE Transactions on Power Systems, 2021,Volume: 36,Issue: 4,Page: 3340-3348
Authors:  Yan, Xiaohe;  Gu, Chenghong;  Zhang, Hongcai;  Li, Furong;  Song, Yonghua
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Long-run incremental cost  Network planning  Real options  Uncertainty  
Stackelberg Game Based Optimal Multi-energy Management for Commercial Building Operators Conference paper
2021 4th International Conference on Energy, Electrical and Power Engineering, CEEPE 2021
Authors:  Zhao, Yinbo;  Gao, Hongjun;  Li, Haibo;  Zhang, Hongcai;  Lao, Keng Weng
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electricity substitution  integrated demand response  Stackelberg game  wind power consumption  
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,Volume: 21,Issue: 2,Page: 221-233
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,Volume: 51,Page: 4162-4198
Authors:  Xian-Xian Liu;  Simon James Fong;  Nilanjan Dey;  Rubén González Crespo;  Enrique Herrera-Viedma
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Novel Coronavirus  Covid-19  Asymptomatic Cases  Disease Transmission  Seir  Seaird  Severity  Risk Assessment  Enhanced Surveillance  Interventions  
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  
Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 55-68
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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Epidemiology Compartmental Models—SIR, SEIR, and SEIR with Intervention Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 15-39
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil Book chapter
出自: Predictive Models for Decision Support in the COVID-19 Crisis, Cham:Springer, 2021, 页码: 89-98
Authors:  Joao Alexandre Lobo Marques;  Francisco Nauber Bernardo Gois;  José Xavier-Neto;  Simon James Fong
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Learning a Deep Agent to Predict Head Movement in 360-Degree Images Journal article
ACM Transactions on Multimedia Computing, Communications and Applications, 2020,Volume: 16,Issue: 4
Authors:  YUCHENG ZHU;  GUANGTAO ZHAI;  XIONGKUO MIN;  JIANTAO ZHOU
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360 Degree  Deep Reinforcement Learning (Drl)  Head Movement Prediction  Omnidirectional  Panoramic  Saliency  Vr  
Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales Journal article
Concurrency Computation, 2020,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