Developing methods to accurately reconstruct spatial fields using data collected by sparse sensors has been a long-standing challenge in both physics and computer science. Ultimately, such methods could significantly aid the design, prediction, analysis and control of complex physical systems.
from News on Artificial Intelligence and Machine Learning https://ift.tt/3njl3iW
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A deep learning technique for global field reconstruction with sparse sensors
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