A novel framework for spatio-temporal prediction of environmental data using deep learning

HIGHLIGHTS

• who: Federico Amato from the FacultyUniversity of have published the article: A novel framework for spatio-temporal prediction of environmental data using deep learning, in the Journal: Scientific Reports Scientific Reports
• what: More specifically, the framework that the authors propose for the interpolation of continuous spatio-temporal fields starting from measurements on a set of irregular points in space consist of the following steps. Being adaptable to every machine_learning models, the approach discussed in this paper may enable users interested in measuring the uncertainties of their model output to use methods allowing its explicit estimation . . .
  

   

  

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