Ionospheric TEC prediction using Long Short-Term Memory deep learning network

Z Wen, S Li, L Li, B Wu, J Fu - Astrophysics and Space Science, 2021 - Springer
In this paper, the prediction model for ionospheric total electron content (TEC) based on
Long Short-Term Memory (LSTM) deep learning network and its performance are discussed …

Forecasting of ionospheric total electron content data using multivariate deep LSTM model for different latitudes and solar activity

N Shenvi, H Virani - Journal of Electrical and Computer …, 2023 - Wiley Online Library
The ionospheric state is becoming increasingly important to forecast for the reliable
operation of terrestrial and space‐based radio‐communication systems which are …

Linear time-series modeling of the GNSS based TEC variations over Southwest Japan during 2011–2018 and comparison against ARMA and GIM models

K Ansari, KD Park, N Kubo - Acta astronautica, 2019 - Elsevier
A significant amount of research has been conducted in Southwest (SW) Japan on climate
modeling, disaster management, earthquake prediction, precise positioning, datum …

Analysis of ionospheric TEC response to solar and geomagnetic activities at different solar activity stages

J Feng, Y Zhang, W Li, B Han, Z Zhao, T Zhang… - Advances in Space …, 2023 - Elsevier
Studying the relationship of total electron content (TEC) to solar or geomagnetic activities at
different solar activity stages can provide a reference for ionospheric modeling and …

Discussing total electron content over the solar wind parameters

E Eroglu - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Modeling and forecasting of Total Electron Content (TEC) values by an Artificial Neural
Network model (ANNm) have high agreement on November 2003, 2004 superstorms. The …

Empirical orthogonal function modelling of total electron content over Nepal and comparison with global ionospheric models

P Jamjareegulgarn, K Ansari, A Ameer - Acta Astronautica, 2020 - Elsevier
This analysis uses 3 years hourly observations of total electron content (TEC) from 5 global
positioning system (GPS) station across Nepal to analyze the spatial trend. For this purpose …

[PDF][PDF] A Statistical Analysis of Traffic-Related Pollution and City Center Dynamics in Ankara: The Cases of Ulus and Kızılay

Ö Işınkaralar, H Şevik - Journal of Ankara Studies, 2023 - jag.journalagent.com
Urban pollution, which reduces the quality of life of residents and poses a vital threat to
human health, can be reduced by effective city planning. Pollution due to heavy metals is …

Examination of seismo-ionospheric anomalies before earthquakes of Mw ≥ 5.1 for the period 2008–2015 in Oaxaca, Mexico using GPS-TEC

A Melgarejo-Morales, GE Vazquez-Becerra… - Acta Geophysica, 2020 - Springer
Earthquakes are a major danger in a constantly growing society due to their imminent
impact and power of destruction. Therefore, the idea of successfully forecasting an …

GNSS-based TEC data modeling with the solar wind parameters

E Eroglu, E Nane - Indian Journal of Physics, 2023 - Springer
The atmosphere is exposed to the Sun–Earth interaction. The ionosphere is located in the
upper part of the atmosphere, extending from 50 to 1000 km, and where the signal transfer is …

[HTML][HTML] Empirical orthogonal function based modelling of ionosphere using Turkish GNSS network

K Ansari, J Walo, S Sagir, K Wezka - Journal of Atmospheric and Solar …, 2024 - Elsevier
The study investigates ionospheric total electron content (TEC) variation over Turkey from
the five selected global navigation satellite system (GNSS) stations situated in diverse parts …