Exposing deep representations to a recurrent expansion with multiple repeats for fuel cells time series prognosis

HIGHLIGHTS

• who: Tarek Berghout and collaborators from the Laboratory of Automation and Manufacturing Engineering, University of Batna, Batna, AlgeriaInstitut de Recherche Dupuy de Lu00f4me (UMR CNRS, ), University of Brest, Brest, France have published the paper: Exposing Deep Representations to a Recurrent Expansion with Multiple Repeats for Fuel Cells Time Series Prognosis, in the Journal: Entropy 2022, 24, 1009. of /2022/
• what: In this context this paper proposes an investigation of further deeper representations by exposing DL models themselves to recurrent expansion with multiple repeats. Concerning Figure 7d related to the challenge part, the 9 of 12 . . .
  

   

  

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