Application of Electrochemical Impedance Spectroscopy for prediction of Fuel Cell degradation by LSTM neural networks. - Riccardo Caponetto; Nicola Guarnera; Fabio Matera; Emanuela Privitera; Maria Grazia Xibilia (MED, 2021)