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A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic.

Yue WangZhiqiang LvZhaoyu ShengHaokai SunAite Zhao
Published in: Adv. Eng. Informatics (2022)
Keyphrases
  • meta learning
  • spatio temporal
  • metamodel
  • machine learning
  • expert systems
  • moving objects
  • high dimensional
  • graph cuts
  • cellular automata
  • urban traffic