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Found 2 papers, 1 papers with code
Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images
The performance of EA and ER were evaluated on three different metrics: accuracy, calibration, and uncertainty.
Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships
A binary alloy (uranium-molybdenum) that is currently under development as a nuclear fuel was studied for the purpose of developing an improved machine learning approach to image recognition, characterization, and building predictive capabilities linking microstructure to processing conditions.
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