Machine Learning for Fast and Reliable Source Location Estimation in Earthquake Early Warning

Authors

  • P Sumalatha  Associate Professor, Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, Telangana, India
  • Gurram Soumya  Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, Telangana, India
  • Angaluri Yashaswini Tapathi  Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, Telangana, India

Keywords:

Deep learning, Earthquake Early Warn- ing (EEW) system, Classification of hyper parameters, earthquake magnitude , CNN Algorithm.

Abstract

Earthquake Early Warning (EEW) system may be a period of time earthquake harm mitigation system. It detects, analyzes and transmits information of the next upcoming event at the potential user sites. An endeavor has been created to develop a multi parameter-based EEW formula for correct and reliable supplying of EEW. The planned formula depends on a convolutional neural network (CNN) Algorithm that has the flexibility to extract vital options from waveforms that enabled the classifier to succeed in a strong performance within the needed earthquake parameters. Victimization of K-Mean formula to analyzing unstable datasets in conjunction with mental image for deciphering the results. With the advancement In machine learning and deep learning, it's attainable to extract helpful information and train models on massive datasets. we are able to predict the earthquakes supported that location’s knowledge and therefore the knowledge of larger area’s. Magnitude determination of earthquakes may be a obligatory step before An earthquake early warning (EEW) system sends an Alarm and therefore the foremost step includes classification of the Hyper parameters: location, magnitude, depth, and origin time of earthquake.

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International Journal of Scientific Research in Science and Technology

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Published

2023-08-30

Issue

Volume 10, Issue 4, July-August-2023

Section

Research Articles

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How to Cite

[1]
P Sumalatha, Gurram Soumya, Angaluri Yashaswini Tapathi "Machine Learning for Fast and Reliable Source Location Estimation in Earthquake Early Warning" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 4, pp.92-96, July-August-2023.