首页|Findings on Machine Learning Reported by Investigators at Aswan University (Pred iction of Optimum Operating Parameters To Enhance the Performance of Pemfc Using Machine Learning Algorithms)
Findings on Machine Learning Reported by Investigators at Aswan University (Pred iction of Optimum Operating Parameters To Enhance the Performance of Pemfc Using Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting fromAswan, Egypt, by NewsRx journalis ts, research stated, “Among various fuel cells (FCs), Polymer exchangemembrane FC (PEMFC) plays a vital role in the transportation era because they operate at moderatetemperatures, have quick start-up, are highly efficient, have scalable size, have high energy density etc.With a high degree of accuracy, machine lear ning algorithms (MLAs) can be applied to solve nonlinearproblems in FCs, includ ing performance prediction, service life prediction, and fault diagnostics.”
AswanEgyptAfricaAlgorithmsCyborg sEmerging TechnologiesMachine LearningAswan University
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