Channel Mixer Layer: Multimodal Fusion Toward Machine Reasoning for Spatiotemporal Predictive Learning of Ionospheric Total Electron Content

Channel Mixer Layer: Multimodal Fusion Toward Machine Reasoning for Spatiotemporal Predictive Learning of Ionospheric Total Electron Content

Abstract The spatiotemporal distribution of Total Electron Content (TEC) in ionosphere determines the refractive index of electromagnetic wave leading to the radio signal scintillation and deterioration. Thanks to the development of machine learning for video prediction, spatiotemporal predictive mo...

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Bibliographic Details
Main Authors: Peng Liu, Tatsuhiro Yokoyama, Takuya Sori, Mamoru Yamamoto
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Space Weather
Subjects:
multimodal fusion
machine reasoning
spatiotemporal predictive learning
ionosphere
Total Electron Content
deep learning
Online Access:https://doi.org/10.1029/2024SW004121
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https://doi.org/10.1029/2024SW004121

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