Data and Algorithms for "Prediction of Intensity Variations Associated with Emerging Active Regions using Helioseismic Power Maps and Machine Learning" Manuscript at ApJ

2024/09/25 by Spiridon Kasapis, Irina Kitiashvili, Kasapis, Spiridon +5
Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Solar and Space Plasma Dynamics #Solar and Stellar Astrophysics (astro-ph.SR)

paper · pdf · doi:10.48550/arxiv.2409.17421

openalex publication_date 2024/09/25 · openalex created_date 2024/10/28 · openalex updated_date 2026/07/28

Abstract

Code files for the following manuscript: "Solar Active Regions Emergence Prediction Using Long Short-Term Memory Networks" under review at the AAS ApJ journal. Preprint available here: https://arxiv.org/pdf/2409.17421

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