@article{ref1,
title="Analysis of positive correlation in magnitude and time measurement for earthquake using electric signals",
journal="Earth science informatics",
year="2022",
author="Saidani, Oumaima and Manoharan, Ramkumar Raja and Naje, Ahmed Samir and Mishra, Ruby and Subburaj, Arjun and S, Maheswari and Sikkandar, Mohamed Yacin and Sundaram, Sankar Ganesh and Rajan, Regin and Sengan, Sudhakar",
volume="15",
number="3",
pages="1527-1544",
abstract="Earthquake Prediction has become a field of seismology concerned with the specification of time, location, and magnitude of earthquakes to take preventive measures that could help in worst-case scenarios, i.e., destruction of homes and lives. Short Term Earthquakes depends on anomalous events known as precursors that occur before an Earthquake. Precursors are considered a warning before an earthquake. This prediction system uses Earth's Electric Field Signal (EEFS) from Athens, Pyrgos, and Hios. Some examples are Ground Uplifting, Tilting, Emission of Radon Gas, Radio Waves, Magnetic Waves, and Earth's Electric. The EEFS can be considered a precursor to estimate the magnitude and time of a possible earthquake. A minute-by-minute reading of the Earth's Electric Field was taken, and few computations, models like ANN, SVM-ANN, and SVM-KNN, were applied. Few other models were created to estimate the time and magnitude of the earthquake. To discover an ideal model, results are compared without any constraints such as overfitting. The paper presents directions for estimating time and is directing for researchers to analyze in multiple dimensions.<p /> <p>Language: en</p>",
language="en",
issn="1865-0473",
doi="10.1007/s12145-021-00754-8",
url="http://dx.doi.org/10.1007/s12145-021-00754-8"
}