Prediction of Global Ionospheric TEC Based on Deep Learning

Multiple CNN Variants and Ensemble Learning for Sunspot Group Classification by Magnetic Type

(2021) Rongxin Tang et al.   ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES

Solar Flare Prediction Based on the Fusion of Multiple Deep-learning Models

(2021) Rongxin Tang et al.   ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES

Forecasting of ionospheric TEC for different latitudes, seasons and solar activity conditions based on OKSM

(2020) R. Mukesh et al.   ASTROPHYSICS AND SPACE SCIENCE

Improvement of a deep learning algorithm for total electron content (TEC) maps: image completion

(2019) Zhou Chen et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS

Feed forward neural network based ionospheric model for the East African region

(2019) A. Tebabal et al.   JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS

Multi-scale ionosphere responses to the May 2017 magnetic storm over the Asian sector

(2019) Lei Liu et al.   GPS SOLUTIONS

Spread-F occurrences and relationships with foF2 and h′F at low- and mid-latitudes in China

(2018) Ning Wang et al.   EARTH PLANETS AND SPACE

Using TensorFlow-based Neural Network to estimate GNSS single frequency ionospheric delay (IONONet)

(2018) Raul Orus Perez   ADVANCES IN SPACE RESEARCH

Extraction of the geomagnetic activity effect from TEC data: A comparison between the spectral whitening method and 28 day running median

(2017) Zhou Chen et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS

Regional GPS TEC modeling; Attempted spatial and temporal extrapolation of TEC using neural networks

(2011) John Bosco Habarulema et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Global prediction of the vertical total electron content of the ionosphere based on GPS data

(2011) A. García-Rigo et al.   RADIO SCIENCE