Comparison Between Gramian Angular Fields (GAF) and Markov Transition Field (MTF) Images Data by Using them as Input to the Deep Learning Neural Network Solar Flare Production Platform-Reference-Cited by-同舟云学术

Comparison Between Gramian Angular Fields (GAF) and Markov Transition Field (MTF) Images Data by Using them as Input to the Deep Learning Neural Network Solar Flare Production Platform

Published:2022-07-04 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Engineering & MIS (ICEMIS)
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Author:

Nagem Tarek A M Hamad¹,Alshareef Sohil²,Mohamed Abdelhafid³,Gihedan Akram⁴,Albargathe Salma⁴

Affiliation:

1. Libyan British University,dept. Computer System Design,Benghazi,Libya

2. University of Benghazi,dept. Software Engineering,Benghazi,Libya

3. College of Computer Technology,dept. Software Engineering,Benghazi,Libya

4. Darna University,dept. Computer Science,Algoba,Libya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9914001/9914002/09914357.pdf?arnumber=9914357

Reference14 articles.

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3. Deep learning teachology for the prediction of solar flares from GOES data

4. Ensemble forecasting of major solar flares: First results

5. Updated verification of the space weather prediction center’s solar energetic particle prediction model;balch;Sp Weather,2008

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