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Predicting the Emergence of Solar Active Regions Using Machine Learning

Predicting the Emergence of Solar Active Regions Using Machine Learning

14 February 2024
Spiridon Kasapis
I. Kitiashvili
Alexander Kosovichev
J. Stefan
Bhairavi Apte
ArXivPDFHTML

Papers citing "Predicting the Emergence of Solar Active Regions Using Machine Learning"

3 / 3 papers shown
Title
Solar-Cycle Variation of quiet-Sun Magnetism and Surface Gravity
  Oscillation Mode
Solar-Cycle Variation of quiet-Sun Magnetism and Surface Gravity Oscillation Mode
M. J. Korpi–Lagg
A. Korpi-Lagg
N. Olspert
Hong Linh Truong
AI4Cl
11
8
0
09 May 2022
Gradient Amplification: An efficient way to train deep neural networks
Gradient Amplification: An efficient way to train deep neural networks
S. Basodi
Chunyan Ji
Haiping Zhang
Yi Pan
ODL
33
115
0
16 Jun 2020
Deep Learning with Long Short-Term Memory for Time Series Prediction
Deep Learning with Long Short-Term Memory for Time Series Prediction
Yuxiu Hua
Zhifeng Zhao
Rongpeng Li
Xianfu Chen
Zhiming Liu
Honggang Zhang
AI4TS
47
429
0
24 Oct 2018
1