[HTML][HTML] Two-stage solar flare forecasting based on convolutional neural networks
J Chen, W Li, S Li, H Chen, X Zhao, J Peng… - Space: Science & …, 2022 - spj.science.org
Solar flares are solar storm events driven by the magnetic field in the solar activity area.
Solar flare, often associated with solar proton event or CME, has a negative impact on ratio …
Solar flare, often associated with solar proton event or CME, has a negative impact on ratio …
[HTML][HTML] Predicting sunspot number from topological features in spectral images I: Machine learning approach
D Sierra-Porta, M Tarazona-Alvarado… - Astronomy and …, 2024 - Elsevier
This study presents an advanced machine learning approach to predict the number of
sunspots using a comprehensive dataset derived from solar images provided by the Solar …
sunspots using a comprehensive dataset derived from solar images provided by the Solar …
Solar wind H+ fluxes at 1 AU for solar cycles 23 and 24
M Sznajder - Advances in Space Research, 2023 - Elsevier
The solar wind consists of electrons and ion species having kinetic energy≲ 10 keVs. Ion
stream is mainly composed of protons. Their flux magnitude is especially important for …
stream is mainly composed of protons. Their flux magnitude is especially important for …
Research Article Two-Stage Solar Flare Forecasting Based on Convolutional Neural Networks
J Chen, W Li, S Li, H Chen, X Zhao, J Peng, Y Chen… - 2022 - spj.science.org
Solar flares are solar storm events driven by the magnetic field in the solar activity area.
Solar flare, often associated with solar proton event or CME, has a negative impact on ratio …
Solar flare, often associated with solar proton event or CME, has a negative impact on ratio …
Predicción del ciclo solar 25 mediante modelos ARIMA y redes neuronales LSTM
S Tomas, O Saavedra, I Espinoza - Revista de la Academia …, 2023 - raccefyn.co
Se realizó un estudio para predecir el número de manchas solares en el Ciclo Solar 25
mediante el uso de dos modelos: un modelo de redes neuronales recurrentes Long short …
mediante el uso de dos modelos: un modelo de redes neuronales recurrentes Long short …
LUMA: Empowering Solar Research Through Open-Source Web Observatories and Image Analysis Tools
DDH Acevedo, AFT García, AV Del Rio… - 2024 XVIII National …, 2024 - ieeexplore.ieee.org
This paper introduces LUMA, an innovative open-source web application designed to
facilitate the exploration and analysis of solar activity through comprehensive image …
facilitate the exploration and analysis of solar activity through comprehensive image …
Observation of Type-II and Type-IV Solar Radio Burst Associated with an M-Class Solar Flare and an Impulsive CME
SNA Syed Zaiful Hamzah… - Global Journal Al …, 2022 - jurnal.usas.edu.my
Our study focused on two types of solar radio bursts observed on November 29 th, 2020, at
12: 54 UT and 12: 56 UT, respectively. In addition to seeing the radio burst appear in the …
12: 54 UT and 12: 56 UT, respectively. In addition to seeing the radio burst appear in the …