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Two data-driven models are presented to predict and analyze the performance of a PEM fuel cell operating on pure oxygen that can be used as an effective power source for air-independent operation of underwater vehicles, spacecrafts, unmanned aerial vehicles, etc. Both artificial neural network (ANN) and support vector machine (SVM) were employed as modeling methods to construct the nonlinear empirical...
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