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Agent-based Simulation Model and Deep Learning Techniques to Evaluate
  and Predict Transportation Trends around COVID-19

Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19

23 September 2020
Ding Wang
Fan Zuo
Jingqin Gao
Yueshuai He
Zilin Bian
Suzana Duran Bernardes
Chaekuk Na
Jingxing Wang
John Petinos
K. Ozbay
Joseph Y. J. Chow
S. Iyer
H. Nassif
X. Ban
ArXiv (abs)PDFHTML

Papers citing "Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19"

2 / 2 papers shown
Title
Machine Learning on the COVID-19 Pandemic, Human Mobility and Air
  Quality: A Review
Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review
Md. Mokhlesur Rahman
K. Paul
Md. Amjad Hossain
G. Ali
M. S. Rahman
J. Thill
46
57
0
13 Mar 2021
An Interactive Data Visualization and Analytics Tool to Evaluate
  Mobility and Sociability Trends During COVID-19
An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19
Fan Zuo
Jingxing Wang
Jingqin Gao
K. Ozbay
X. Ban
Yubin Shen
Hong Yang
S. Iyer
54
51
0
26 Jun 2020
1