Application of Electrochemical Impedance Spectroscopy for prediction of Fuel Cell degradation by LSTM neural networks

Research article (2021 29th Mediterranean Conference on Control and Automation (MED), 2021) · cited 10× · AI/ML
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Application of Electrochemical Impedance Spectroscopy for prediction of Fuel Cell degradation by LSTM neural networks

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Application of Electrochemical Impedance Spectroscopy for prediction of Fuel Cell degradation by LSTM neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Application of Electrochemical Impedance Spectroscopy for prediction of Fuel Cell degradation by LSTM neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-electrochemical-impedance-spectroscopy-for-prediction-of-fuel-cell-degradation-by-lstm-neural-networks
MLA “Application of Electrochemical Impedance Spectroscopy for prediction of Fuel Cell degradation by LSTM neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-electrochemical-impedance-spectroscopy-for-prediction-of-fuel-cell-degradation-by-lstm-neural-networks.
BibTeX @misc{4ortxyz_application-of-electrochemical-impedance-spectroscopy-for-prediction-of-fuel-cell-degradation-by-lstm-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of Electrochemical Impedance Spectroscopy for prediction of Fuel Cell degradation by LSTM neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-electrochemical-impedance-spectroscopy-for-prediction-of-fuel-cell-degradation-by-lstm-neural-networks}, note = {Accessed: 2026-05-24}}
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