Using artificial neural networks for comparison of the 09 March 2012 intense and 08 May 2014 weak storms

K Koklu - Advances in Space Research, 2022 - Elsevier
Interplanetary parameters investigations are the keyspace of space research and are in the
center of the relationship to the Sun and Earth. The investigations gain meaning by …

Modeling and analysis of ionospheric TEC variability from GPS–TEC measurements using SSA model during 24th solar cycle

JRKK Dabbakuti, R Peesapati, SK Panda, S Thummala - Acta Astronautica, 2021 - Elsevier
Ionospheric modeling across the Indian low latitudes continues to be a challenging task
because of the day-to-day variability pertaining to the underlying complex equatorial and …

Anomaly effects of 6–10 September 2017 solar flares on ionospheric total electron content over Saudi Arabian low latitudes

KD Reddybattula, SK Panda, SK Sharma, AK Singh… - Acta Astronautica, 2020 - Elsevier
Solar flares are sudden eruption of intense high-energy radiation from the Sun causing radio
perturbations due to disturbances in ionosphere and magnetosphere of the Earth. The …

Seismo-ionospheric anomalies related to the Mw 6.6, July 20, 2017, earthquake in Bodrum, Turkey

E Eroglu, E Nane, ÜD Göker - Natural Hazards, 2023 - Springer
Abstract The Bodrum/Kos earthquake that occurred around the island of Kos (Greece) on
July 20, 2017, caused serious uneasiness for the people of the region. The earthquake …

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

M Ulukavak - Acta Geophysica, 2021 - Springer
Earth's ionosphere is an important medium for navigation, communication, and radio wave
transmission. The inadequate advances in technology do not allow enough realization of …

Seismo ionospheric anomalies related to the Mw 7.5, Kepulauan Alor, Indonesia earthquake

K Koklu - Acta Geophysica, 2023 - Springer
Discussions about anomaly in the ionosphere have made significant progress since the
great Alaskan earthquake, in 1964. Specifying signs of precursors of an earthquake and …

[HTML][HTML] Machine learning models for predicting geomagnetic storms across five solar cycles using Dst index and heliospheric variables

D Sierra-Porta, JD Petro-Ramos… - Advances in Space …, 2024 - Elsevier
This study aims to improve the understanding of geomagnetic storms by utilizing machine
learning models and analyzing several heliophysical variables, such as the interplanetary …

Using artificial neural networks in the investigation of four moderate geomagnetic storms (mGSs) that occurred in 2015

F Basciftci - Advances in Space Research, 2023 - Elsevier
This essay aims to investigate the four moderate Geomagnetic Storms (mGSs)(storms of
March 02, April 11, April 16, and May 13) that occurred in 2015. When examining GSs, Zonal …

Mathematical analysis of the 08 May 2014 weak storm

K Köklü - Mathematical Problems in Engineering, 2021 - Wiley Online Library
Since the time scale of weak storms is about half the time scale of intense storms, it is
troublesome and important to examine the solar wind parameters/interplanetary magnetic …

An Analysis of the Latest Super Geomagnetic Storm of the 23RD Solar Cycle (May 15, 2005, Dst: –247 nT)

F Bascıftcı - Geomagnetism and Aeronomy, 2021 - Springer
A geomagnetic storm is a major disturbance in the Earth's magnetosphere due to the solar
wind entering the magnetosphere and ionosphere, lasting about 1–3 days. Storms are …