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RISHybrid Quantum Neural Network and Shapely Additive Explanations in Railway Track Geometry Modeling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This research investigates the application of explainable quantum machine learning (QML) for predictive maintenance in the railroad industry. By utilizing ground-penetrating radar (GPR) data to characterize subsurface track ...