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BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling
This approach significantly reduces computational costs in comparison with training each DNN backbone individually.
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation
This study highlighted the importance of labeled experimental patterns on the training of DNN models to solve u-XRD mapping data from in-situ experiments involving liquid phase.
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