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Passenger spatiotemporal distribution prediction in airport terminals based on physics-guided spatio-temporal graph convolutional network and its effect on indoor environment prediction

Author(s):


Medium: journal article
Language(s): English
Published in: Sustainable Cities and Society, , v. 106
Page(s): 105375
DOI: 10.1016/j.scs.2024.105375
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1016/j.scs.2024.105375.
  • About this
    data sheet
  • Reference-ID
    10775428
  • Published on:
    29/04/2024
  • Last updated on:
    29/04/2024
 
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