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Found 3 papers, 1 papers with code
Graph Neural Networks for Dynamic Modeling of Roller Bearing
Through this approach, we demonstrate the effectiveness of the GNN-based method in accurately predicting the dynamics of rolling element bearings, highlighting its potential for real-time health monitoring of rotating machinery.
Strategic Evaluation in Optimizing the Internal Supply Chain Using TOPSIS: Evidence In A Coil Winding Machine Manufacturer
Accordingly, ranking these factors to get the critical dimensions of supply chain performance in the manufacturing industry.
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
We propose extracurricular learning, a novel knowledge distillation method, that bridges this gap by (1) modeling student and teacher output distributions; (2) sampling examples from an approximation to the underlying data distribution; and (3) matching student and teacher output distributions over this extended set including uncertain samples.
