Deep learning for ionospheric TEC forecasting at mid-latitude stations in Turkey-Reference-Cited by-同舟云学术

Deep learning for ionospheric TEC forecasting at mid-latitude stations in Turkey

Published:2021-04 Issue:2 Volume:69 Page:589-606
ISSN:1895-6572
Container-title:Acta Geophysica
language:en
Short-container-title:Acta Geophys.

Author:

Ulukavak Mustafa^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Link

https://link.springer.com/content/pdf/10.1007/s11600-021-00568-8.pdf

Reference78 articles.

1. Abe OE, Otero Villamide X, Paparini C et al (2017) Performance evaluation of GNSS-TEC estimation techniques at the grid point in middle and low latitudes during different geomagnetic conditions. J Geod 91:409–417. https://doi.org/10.1007/s00190-016-0972-z

2. Adewale A, Oyeyemi E (2018) Estimation of GPS-TEC using different techniques and comparison with values from IRI-2012, NeQuick-2 and IRI-Plas 2015 models during geomagnetic storms. In: 42nd COSPAR Scientific Assembly. p C1.1-123-18

3. Afraimovich EL, Astafyeva EI (2008) TEC anomalies—local TEC changes prior to earthquakes or TEC response to solar and geomagnetic activity changes? Earth Planets Sp 60:961–966. https://doi.org/10.1186/BF03352851

4. Aggarwal M (2015) Anomalous changes in ionospheric TEC during an earthquake event of 13–14 April 2010 in the Chinese sector. Adv Sp Res 56:1400–1412. https://doi.org/10.1016/j.asr.2015.07.007

5. Al-Hawawreh M, Moustafa N, Sitnikova E (2018) Identification of malicious activities in industrial internet of things based on deep learning models. J Inf Secur Appl 41:1–11. https://doi.org/10.1016/j.jisa.2018.05.002

Cited by 18 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. An Ambient Adaptive Global Navigation Satellite System Total Electron Content Predictive Model for Short-Term Rapid Geomagnetic Storm Events;Remote Sensing;2024-08-19

2. Effects of local time on the variations of the total electron contents at an American and Asian longitudes and their comparison with IRI-2016, IRI-Plas2017 and NeQuick-2 models during solar cycle 24;Journal of Atmospheric and Solar-Terrestrial Physics;2024-07

3. Prediction of ionospheric total electron content over low latitude region: Case study in Ethiopia;Advances in Space Research;2024-07

4. Determination of the Coseismic Displacement with PPP Wavelet Decomposition and InSAR;Earth Systems and Environment;2024-06-28

5. A Machine Learning-Based Tropospheric Prediction Approach for High-Precision Real-Time GNSS Positioning;Sensors;2024-05-07