UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1907R26


Registration ID:
224193

Page Number

171-172

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Title

Earthquake Prediction using seismic information

Abstract

Earthquake is one of the devastating events in natural hazards that causes great casualties and property damage every day in the world since that it is hard to predict. With the increasing amount of earthquake datasets collected, many researchers try to solve the task of predicting the earthquakein the future time. Earthquake prediction is to estimate the time, location and magnitude of the future earthquake. In this project we will use precursory pattern based feature extraction method for earthquake prediction, which can predict both the magnitude range of future earth- quakes and obtain the effective time range of prediction results. Earthquake precursor refers to a part of seismic records before the main shock, which is represented as the precursory pattern of earthquake

Key Words

Earthquake, seismic activity, Precursory pattern, CART, Timeseries.

Cite This Article

"Earthquake Prediction using seismic information", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.171-172, June 2019, Available :http://www.jetir.org/papers/JETIR1907R26.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Earthquake Prediction using seismic information", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp171-172, June 2019, Available at : http://www.jetir.org/papers/JETIR1907R26.pdf

Publication Details

Published Paper ID: JETIR1907R26
Registration ID: 224193
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 171-172
Country: Bangalore , Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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