Machine Learning Modelling and Feature Engineering in Seismology Experiment

Machine Learning Modelling and Feature Engineering in Seismology Experiment

This article aims to discusses machine learning modelling using a dataset provided by the LANL (Los Alamos National Laboratory) earthquake prediction competition hosted by Kaggle. The data were obtained from a laboratory stick-slip friction experiment that mimics real earthquakes. Digitized acoustic...

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Bibliographic Details
Main Authors: Michail Nikolaevich Brykov, Ivan Petryshynets, Catalin Iulian Pruncu, Vasily Georgievich Efremenko, Danil Yurievich Pimenov, Khaled Giasin, Serhii Anatolievich Sylenko, Szymon Wojciechowski
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
seismology
earthquake prediction
laboratory experiment
acoustic data
machine learning
feature engineering
Online Access:https://www.mdpi.com/1424-8220/20/15/4228

Internet

https://www.mdpi.com/1424-8220/20/15/4228

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