[HTML][HTML] Recent advances and challenges in the seismo-electromagnetic study: A brief review

H Chen, P Han, K Hattori - Remote Sensing, 2022 - mdpi.com
Due to their potential application in earthquake forecasting, seismo-electromagnetic
phenomena were intensively studied for several decades all over the world. At present …

Ionospheric precursors of earthquakes and global electric circuit

S Pulinets, D Davidenko - Advances in Space Research, 2014 - Elsevier
The electromagnetic coupling between the seismically activated area and the ionosphere is
considered within the framework of the Global Electric Circuit (GEC) conception. First we …

[HTML][HTML] Ensemble machine learning of random forest, AdaBoost and XGBoost for vertical total electron content forecasting

R Natras, B Soja, M Schmidt - Remote Sensing, 2022 - mdpi.com
Space weather describes varying conditions between the Sun and Earth that can degrade
Global Navigation Satellite Systems (GNSS) operations. Thus, these effects should be …

Earthquake magnitude prediction in Hindukush region using machine learning techniques

KM Asim, F Martínez-Álvarez, A Basit, T Iqbal - Natural Hazards, 2017 - Springer
Earthquake magnitude prediction for Hindukush region has been carried out in this research
using the temporal sequence of historic seismic activities in combination with the machine …

Physical bases of the generation of short-term earthquake precursors: A complex model of ionization-induced geophysical processes in the lithosphere-atmosphere …

SA Pulinets, DP Ouzounov, AV Karelin… - Geomagnetism and …, 2015 - Springer
This paper describes the current understanding of the interaction between geospheres from
a complex set of physical and chemical processes under the influence of ionization. The …

[HTML][HTML] Precursory worldwide signatures of earthquake occurrences on Swarm satellite data

A De Santis, D Marchetti, FJ Pavón-Carrasco… - Scientific reports, 2019 - nature.com
The study of the preparation phase of large earthquakes is essential to understand the
physical processes involved, and potentially useful also to develop a future reliable short …

[HTML][HTML] Earthquake prediction model using support vector regressor and hybrid neural networks

KM Asim, A Idris, T Iqbal, F Martínez-Álvarez - PloS one, 2018 - journals.plos.org
Earthquake prediction has been a challenging research area, where a future occurrence of
the devastating catastrophe is predicted. In this work, sixty seismic features are computed …

[图书][B] Pre-earthquake processes: a multidisciplinary approach to earthquake prediction studies

D Ouzounov, S Pulinets, K Hattori, P Taylor - 2018 - books.google.com
Pre-Earthquake signals are advanced warnings of a larger seismic event. A better
understanding of these processes can help to predict the characteristics of the subsequent …

Ionospheric electron enhancement preceding the 2011 Tohoku‐Oki earthquake

K Heki - Geophysical Research Letters, 2011 - Wiley Online Library
The 2011 March 11 Tohoku‐Oki earthquake (Mw9. 0) caused vast damages to the country.
Large events beneath dense observation networks could bring breakthroughs to seismology …

Towards advancing the earthquake forecasting by machine learning of satellite data

P Xiong, L Tong, K Zhang, X Shen, R Battiston… - Science of The Total …, 2021 - Elsevier
Earthquakes have become one of the leading causes of death from natural hazards in the
last fifty years. Continuous efforts have been made to understand the physical characteristics …