INDOOR AND SOIL RADON MEASUREMENTS IN THE HYBLEAN FORELAND (SOUTH-EAST SICILY)


Using neural networks to improve simulations in the gray zone

Machine learning represents a potential method to cope with the gray zone problem of representing motions in dynamical systems on scales comparable to the model resolution.Here we explore the possibility of using a underwater treasures sunken medallion neural network to directly learn the error caused by unresolved scales.We use a modified shallow

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