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AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources.

, , , , , , , , , и . High Performance Computing for Imaging, стр. 1-6. Society for Imaging Science and Technology, (2023)

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fairDMS: Rapid Model Training by Data and Model Reuse., , , , , , , , , и . CLUSTER, стр. 394-405. IEEE, (2022)Streaming Hardware Compressor Generator Framework., , , , и . SC Workshops, стр. 289-297. ACM, (2023)Deep learning at the edge enables real-time streaming ptychographic imaging., , , , , , , , , и 8 other автор(ы). CoRR, (2022)Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval., , , , , , , , , и 4 other автор(ы). XLOOP@SC, стр. 15-23. IEEE, (2021)FALCON readout channel for X-ray ptychography applications., , , , , и . PRIME, стр. 193-196. IEEE, (2022)A Hardware Co-design Workflow for Scientific Instruments at the Edge., , , , , и . SMC, том 1512 из Communications in Computer and Information Science, стр. 209-226. Springer, (2021)Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval., , , , , , , , , и 3 other автор(ы). CoRR, (2021)Designing a Streaming Data Coalescing Architecture for Scientific Detector ASICs with Variable Data Velocity., , , , и . XLOOP@SC, стр. 8-14. IEEE, (2021)AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources., , , , , , , , , и . High Performance Computing for Imaging, стр. 1-6. Society for Imaging Science and Technology, (2023)