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Found 5 papers, 0 papers with code
Revealing the structure-property relationships of copper alloys with FAGC
These outcomes underscore the potential of FAGC to address the challenge of limited image data in materials science, providing a powerful tool for establishing detailed and quantitative relationships between complex microstructures and material properties.
Few-shot Image Generation via Information Transfer from the Built Geodesic Surface
Images generated by most of generative models trained with limited data often exhibit deficiencies in either fidelity, diversity, or both.
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Finally, the many generated features on the Geodesic curve are used to train the various machine learning models.
Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting
To capture this property, we use adaptive methods to generate static backbone graphs containing the primary information and temporal models to generate dynamic temporal graphs of epidemic data, fusing them to generate a backbone-based dynamic graph.
MPSTAN: Metapopulation-based Spatio-Temporal Attention Network for Epidemic Forecasting
Most of the present spatio-temporal models cannot provide a general framework for stable, and accurate forecasting of epidemics with diverse evolution trends.
