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12. Fluorescence Reconstruction Microscopy Data: MDCK (20x) DIC to Nuclei (DAPI) and E-Cadherin (RFP)
13. Fluorescence Reconstruction Microscopy: Complete Testing Dataset
14. Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models
15. Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices
16. Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX
17. Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX
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