Data assimilation predictive gan (da-predgan) applied to a spatio-temporal compartmental model in epidemiology

HIGHLIGHTS

  • who: Vinicius L. S. Silva from the Applied Modelling and Computation Group, Imperial College London, London, UK have published the research: Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology, in the Journal: (JOURNAL)
  • what: The authors propose a novel use of generative adversarial networks (GANs) (i) to make predictions in time (PredGAN) and_(ii) to assimilate measurements (DA-PredGAN). In the latter, the main goal is to describe how the data is organised or clustered . The authors focus the attention on the latter. The authors propose two contributions . . .

     

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