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Earth-Prints is an open archive created and maintained by Istituto Nazionale di Geofisica e Vulcanologia. This digital collection allows users to browse, search and access manuscripts, journal articles, theses, conference materials, books, book-chapters, web products.

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Browsing by Subject earthquake detection; convolutional neural network; non-stationary signal analysis; classification; time–frequency representation

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	Issue Date	Title	Author(s)
	Jan-2022	The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data	Njirjak, Marko* ; Otović, Erik* ; Jozinović, Dario* ; Lerga, Jonatan* ; Mauša, Goran* ; Michelini, Alberto* ; Štajduhar, Ivan*

Showing results 1 to 1 of 1

Welcome to the OA Earth-prints Repository!

Browsing by Subject earthquake detection; convolutional neural network; non-stationary signal analysis; classification; time–frequency representation

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