THE QUANTIZATION OF THE CLASSICAL TWO-DIMENSIONAL HAMILTONIAN SYSTEMS




A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement

Abstract Consistent detection of cracks in engineering structures is essential for maintaining Candy structural integrity.Deep neural networks perform well in this discipline, although their pixel-level labeling reliance increases labeling costs.Thus, weakly supervised learning methods have emerged.However, their labels are substantially worse qual

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Method for Designing Robust and Energy Efficient Railway Schedules

The robustness of the timetable is a sensitive issue in the daily realization of railway operations.As shown in the paper, robustness is a function of time reserves that helps to prevent unscheduled stops resulting from traffic disruptions and causing a higher energy consumption.The correct handling of time reserves while scheduling is a multidimen

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