Laboratory of Aeronautical Sciences
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measuring_forces_on_sand_dunes
measuring_forces_on_sand_dunes PublicDeep learning model using CNNs to measure resultant forces on individual barchan dunes, based on numerical data. This proof of concept opens new possibilities for leveraging machine learning to ana…
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pyFTLE computes hyperbolic Lagrangian Coherent Structures (LCS) from velocity flow field data using Finite-Time Lyapunov Exponents (FTLE)
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Reconstruct the pressure field from image velocimetry data using Sinusoidal Representation Network (SIREN)
las-unicamp/siren’s past year of commit activity - measuring_forces_on_sand_dunes Public
Deep learning model using CNNs to measure resultant forces on individual barchan dunes, based on numerical data. This proof of concept opens new possibilities for leveraging machine learning to analyze granular dynamics, with future potential applications in remote sensing, environmental monitoring, and planetary exploration.
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