-
. For example, investigating costs and benefits related to the adoption of state-of-the-art technologies that permit tracking and chain of custody. The team will also explore machine learning and artificial
-
National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 18 days ago
the computational work. Researchers in the group have experience with crystal plasticity using finite element and fast Fourier transform methods, fatigue indicator parameters, process modeling and machine learning
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only