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Valmir Moraes Filho
Catholic University of AmericaMeeting roles in:
SDO-ML Video Foundation Model with Neural Fields and its application to Solar Wind Structure classification
Tracking the Multiscale Solar Wind Evolution with PUNCH Flow Maps for Heliophysics Research and Space Weather Preparedness
PUNCH flow data applied to SynCOM simulated images
Understanding the relationships of PSP Solar Wind Parameters with Distributed Computation using Dask and Deep Learning techniques.
PSP-ML Parker Solar Probe Machine Learning Ready Dataset
Uncovering the solar wind structure with iSAX Pipeline and PSP data
Solar Wind Structure Decipher Clustering Using iSAX-pipeline Composed of iSAX Compression, and HDBSCAN
Masked Autoencoders and Neural Fields for Solar Wind Structure Classification from SDO Observations
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