A machine learning-based electron density (MLED) model in the inner magnetosphere-Reference-Cited by-同舟云学术

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A machine learning-based electron density (MLED) model in the inner magnetosphere

Published:2022 Issue:0 Volume:6 Page:0-0
ISSN:2096-3955
Container-title:Earth and Planetary Physics
language:en
Short-container-title:

Author:

Zhou QingHua, , ,Chen YunXiang,Xiao FuLiang,Zhang Sai,Liu Si,Yang Chang,He YiHua,Gao ZhongLei, ,

Publisher

Earth and Planetary Physics

Subject

Space and Planetary Science,Atmospheric Science,Astronomy and Astrophysics

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PEMEM Percentile: New Plasma Environment Specification Model for Surface Charging Risk Assessment;Journal of Geophysical Research: Space Physics;2024-02

2. Effects of Cold Plasma on the Mode Conversion From Fast Magnetosonic Wave to Electromagnetic Ion Cyclotron Wave in the Inner Plasmasphere;Journal of Geophysical Research: Space Physics;2023-09

3. Areal-time seismic intensity prediction model based on multi-parameter driven machine learning;CHINESE J GEOPHYS-CH;2023

4. Recognition of HVDC transmission disturbance events in geomagnetic observation data based on deep neural network;CHINESE J GEOPHYS-CH;2023

5. Direct Evidence for Auroral Kilometric Radiation Propagation Into Radiation Belts Based on Arase Spacecraft and Van Allen Probe B;Geophysical Research Letters;2022-10-04

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