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Jeremy A. Grajeda

3 papers hereh-index 341 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • astro-ph.SR2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedNeural-based Compression Scheme for Solar Image Data

7 citations · 7 across the 1 of their papers we have counts for

collaborators

3 papers

astro-ph.SR2025

Incorporating Magnetic Field Characteristics into EUV-Based Automated Segmentation of Coronal Holes

Jeremy A. Grajeda, Laura E. Boucheron, Michael S. Kirk +3

Coronal holes (CHs) are magnetically open regions that allow hot coronal plasma to escape from the Sun and form the high-speed solar wind. This wind can interact with Earth's magne…

astro-ph.SR2024

Magnetic Field-Constrained Ensemble Image Segmentation of Coronal Holes in Chromospheric Observations

Jaime A. Landeros, Michael S. Kirk, C. Nick Arge +5

Coronal Holes (CHs) are large-scale, low-density regions in the solar atmosphere which may expel high-speed solar wind streams that incite hazardous, geomagnetic storms. Coronal an…

eess.IV2023★ 7 cited

Neural-based Compression Scheme for Solar Image Data

Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda +6

Studying the solar system and especially the Sun relies on the data gathered daily from space missions. These missions are data-intensive and compressing this data to make them eff…

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