2771-1463ISSN (Online)
2771-1471ISSN (Print)
Volume 5 , Issue 1 , PP: 42-45, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
R. Jeena 1 * , Kruthika M. 2 , Princy A. 3 , Tanya A. 4
Doi: https://doi.org/10.54216/JCHCI.050104
Earthquake is one of the most threatening natural disasters which is caused due to the shaking of the earth’s surface. Common cause of earthquake is due to ground shaking, underground volcanic eruption. Here, XGBoost Algorithm is used to predict the location of the earthquake. In this paper, a earthquake location prediction method is proposed, which is based on the composition of a known system whose behaviour is administered according to the evaluation of more than two decades of seismic events and is designed as a time series using Machine learning. By analyzing the parameters such as Latitude, Magnitude, Depth, Longitude, Depth error, Gap, Time etc.
XGBoost Algorithm , earthquake , magnitude , earth surface , ground shaking , seismic events , time series
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