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Coronal Holes Detection Using Supervised Classification

  • Published:2018 Issue: Volume: Page:365-395
  • ISSN:
  • Container-title:Machine Learning Techniques for Space Weather
  • language:
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Author:

Delouille Véronique,Hofmeister Stefan J.,Reiss Martin A.,Mampaey Benjamin,Temmer Manuela,Veronig Astrid

Publisher

Elsevier

Reference61 articles.

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2. Image statistics and data mining of anal intraepithelial neoplasia;Ahammer;Pattern Recogn. Lett.,2008

3. The transformation of Poisson, Binomial and Negative-Binomial data;Anscombe;Biometrika,1948

4. Segmentation of extreme ultraviolet solar images using a multispectral data fusion process;Barra,2007

5. Pattern Recognition With Fuzzy Objective Function Algorithms;Bezdek,1981

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1. A Transfer Learning Method to Generate Synthetic Synoptic Magnetograms;Space Weather;2024-01

2. Prediction of geomagnetic events from solar wind data using deep learning;2023 European Data Handling & Data Processing Conference (EDHPC);2023-10-02

3. Long-term variation of coronal holes latitudinal distribution;Monthly Notices of the Royal Astronomical Society;2022-02-12

4. Spatio-temporal bands of coronal bright points and their relation to solar torsional oscillations;Monthly Notices of the Royal Astronomical Society;2021-11-10

5. SCSS-Net: solar corona structures segmentation by deep learning;Monthly Notices of the Royal Astronomical Society;2021-10-19
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