Pre-earthquake ionospheric anomalies before three major earthquakes by GPS-TEC and GIM-TEC data during 2015–2017
The dual-frequency satellite-based measurements from Global Positioning System (GPS)
may provide feasible ways of studying and potentially detecting of earthquake (EQ) related …
may provide feasible ways of studying and potentially detecting of earthquake (EQ) related …
Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification
In this study an earthquake predictor system is proposed by combining seismic indicators
along with Genetic Programming (GP) and AdaBoost (GP-AdaBoost) based ensemble …
along with Genetic Programming (GP) and AdaBoost (GP-AdaBoost) based ensemble …
[HTML][HTML] Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series data
A new methodology, imputation by feature importance (IBFI), is studied that can be applied
to any machine learning method to efficiently fill in any missing or irregularly sampled data. It …
to any machine learning method to efficiently fill in any missing or irregularly sampled data. It …
Automated anomalous behaviour detection in soil radon gas prior to earthquakes using computational intelligence techniques
In this article, three computational intelligence (CI) models were developed to automatically
detect anomalous behaviour in soil radon gas (222 Rn) time series data. Data were …
detect anomalous behaviour in soil radon gas (222 Rn) time series data. Data were …
Implication of radon monitoring for earthquake surveillance using statistical techniques: a case study of Wenchuan earthquake
The seismotectonically induced changes in groundwater radon (Rn) are considered to be
strong imputes for the surveillance of imminent major earthquakes. Groundwater facilitates …
strong imputes for the surveillance of imminent major earthquakes. Groundwater facilitates …
Time series analysis of soil radon in Northern Pakistan: Implications for earthquake forecasting
Time series analysis of soil radon data has previously been proposed as a mechanism for
earthquake hazard forecasting, but it is not universally accepted as such. Here we perform …
earthquake hazard forecasting, but it is not universally accepted as such. Here we perform …
First seasonal and annual variations of atmospheric electric field at a subtropical station in Islamabad, Pakistan
The variation of the atmospheric electric field from the ground is analyzed by using an
electric field mill sensor for Islamabad, Pakistan. The first early results of atmospheric electric …
electric field mill sensor for Islamabad, Pakistan. The first early results of atmospheric electric …
[HTML][HTML] Ionospheric precursors of strong earthquakes observed using six GNSS stations data during continuous five years (2011–2015)
HE Eshkuvatov, BJ Ahmedov, YA Tillayev… - Geodesy and …, 2023 - Elsevier
This study reports the morphological characteristics of anomalous variations in Global
Navigation Satellite System Total Electron Content (GNSS-TEC) prior to the strong local …
Navigation Satellite System Total Electron Content (GNSS-TEC) prior to the strong local …
Fluctuation Dynamics of Radon in Groundwater Prior to the Gansu Earthquake, China (22 July 2013: Ms = 6.6): Investigation with DFA and MFDFA Methods
The present study reports measurements of radon in groundwater conducted in China
between January and December 2013. During the measurement period, a great M s= 6.6 …
between January and December 2013. During the measurement period, a great M s= 6.6 …
Lifetime cancer risk increase due to consumption of some foods from a High Background Radiation Area
Activity concentration (AC) in foods produced and commonly consumed in a High
Background Radiation Area (HBRA) was analyzed. The AC were obtained by …
Background Radiation Area (HBRA) was analyzed. The AC were obtained by …