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It is demonstrated using four 1D radiative transfer models that are compared in direct mode.
The methodology is demonstrated using four different technology levels for a mission scenario at which a crew of six spends 600 days on the Martian surface.
The ability of the Neural BoF model to improve the classification performance is demonstrated using four datasets, including a large-scale dataset, and five different feature types.
The utility of this metric is demonstrated using four years of soil moisture sensor data collected at a woodland site in Perth, Australia with a highly water repellent A-horizon.
The scalability of the GPU-based implementation was also demonstrated using four GTX 200 series graphics cards.
Here the efficacy of this approach is demonstrated using four pharmaceutically relevant compounds: acetaminophen, tolfenamic acid, ROY, and curcumin.
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This is demonstrated using two different datasets.
The analysis is demonstrated using three examples.
The analysis process is demonstrated using two network model exemplars.
The ensemble prognostics method is demonstrated using two case studies.
The flexibility of the co-extrusion processing for nanofiber fabrication is demonstrated using three examples.
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