Signal classiﬁcation by wavelet-based hidden Markov models: application to seismic signals of volcanic origin-Reference-Cited by-同舟云学术

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Signal classiﬁcation by wavelet-based hidden Markov models: application to seismic signals of volcanic origin

Published: Issue: Volume: Page:161-173
ISSN:
Container-title:Statistics in Volcanology
language:
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Author:

Alasonati Paolo,Wassermann Joachim,Ohrnberger Matthias

Publisher

The Geological Society of London on behalf of The International Association of Volcanology and Chemistry of the Earth's Interior

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dilated-RNNs: A Deep Approach for Continuous Volcano-Seismic Events Recognition;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. Adaptive classification using incremental learning for seismic-volcanic signals with concept drift;Journal of Volcanology and Geothermal Research;2021-05

3. Exploring the unsupervised classification of seismic events of Cotopaxi volcano;Journal of Volcanology and Geothermal Research;2020-10

4. ESeismic: Towards an Ecuadorian volcano seismic repository;Journal of Volcanology and Geothermal Research;2020-05

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