The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Understanding the relationships of PSP Solar Wind Parameters with Distributed Computation using Dask and Deep Learning techniques. (AGU25)

Understanding the relationships of PSP Solar Wind Parameters with Distributed Computation using Dask and Deep Learning techniques.

Joseph Gallego, Drexel University, Computer and Information Science, Philadelphia, PA, United States, Jasmine Kobayashi, Southwest Research Institute Boulder, Boulder, CO, United States, Jinsu Hong, Georgia State University, Atlanta, United States, Daniela Martin, University of Delaware, Newark, DE, United States, Valmir Moraes Filho, Catholic University of America, Washington, DC, United States, Connor O'Brien, Boston University, Center for Space Physics, Boston, MA, United States and Evangelia Samara, Catholic University of America, Washington, United States; NASA Goddard Space Flight Center, Greenbelt, United States
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