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Shuaiqi Yuan

Biographic Data

ID9442675
NAMEShuaiqi Yuan
GIVEN NAMESShuaiqi
FAMILY NAMEYuan
SIGNATUREYUAN S
AFFILIATIONSDelft University of Technology
ORCID0000-0003-2758-546X
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • An Integrated Graph Model for Spatial–Temporal Urban Crime Prediction Based on Attention Mechanism

    Open Access•Miaomiao Hou, Xiaofeng Hu et al.•ARTICLE•ISPRS International Journal of…•2022

    Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial–temporal crime prediction can provide reasonable estimations associated with the crime hotspot. It thus contributes to the decision making of relevant departments under limited resources, as well as promotes civilized urb…

  • Prediction of gas leakage and dispersion in utility tunnels based on CFD-EnKF coupling model

    Open Access•Jitao Cai, Jiansong Wu et al.•ARTICLE•Sustainable Cities and Society•2022

No prominent works on this page.

  • An Integrated Graph Model for Spatial–Temporal Urban Crime Prediction Based on Attention Mechanism

    Open Access•Miaomiao Hou, Xiaofeng Hu et al.•ARTICLE•ISPRS International Journal of…•2022

    Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial–temporal crime prediction can provide reasonable estimations associated with the crime hotspot. It thus contributes to the decision making of relevant departments under limited resources, as well as promotes civilized urb…

  • Prediction of gas leakage and dispersion in utility tunnels based on CFD-EnKF coupling model

    Open Access•Jitao Cai, Jiansong Wu et al.•ARTICLE•Sustainable Cities and Society•2022

Computer Science (2 works) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Autoregressive integrated moving average (1 work) · Computational fluid dynamics (1 work) · Convolutional neural network (1 work) · Crime Patterns and Interventions (1 work) · Data mining (1 work) · Engineering (1 work) · Environmental Science (1 work)

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