Abstract: Optimal mass transport (OMT) is an optimization problem that determines a method of moving mass or value from one function to another in the most efficiently and optimally. Using the ideas of OMT, this technical note aims ...

Abstract: A digital twin (DT) is a computational model (or set of coupled) that evolves over time to persistently represent the critical structure, its components, system, or process. Digital twin underpins intelligent automation ...

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 ...

Abstract: The far-reaching consequences of train derailments have been a major concern to industry and government despite their relatively low occurrence. These consequences include injury, loss of life and property, interruption ...