3D Convolution Recurrent Neural Networks for Multi-Label Earthquake Magnitude Classification

3D Convolution Recurrent Neural Networks for Multi-Label Earthquake Magnitude Classification

We examine a classification task in which signals of naturally occurring earthquakes are categorized ranging from minor to major, based on their magnitude. Generalized to a single-label classification task, most prior investigations have focused on assessing whether an earthquake’s magnitude falls i...

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Bibliographic Details
Main Authors: Muhammad Shakeel, Kenji Nishida, Katsutoshi Itoyama, Kazuhiro Nakadai
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
multi-label classification
earthquake signal detection
3D CNN
GRU
log-Mel spectrogram
disaster response
Online Access:https://www.mdpi.com/2076-3417/12/4/2195

Internet

https://www.mdpi.com/2076-3417/12/4/2195

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