Wavelet based machine learning approach for spectral seismic signal analysis: A case study North Tapanuli earthquake-Reference-Cited by-同舟云学术

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Wavelet based machine learning approach for spectral seismic signal analysis: A case study North Tapanuli earthquake

Published:2020 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
language:
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Author:

Sinambela Marzuki,Tarigan Kerista,Humaidi Syahrul,Situmorang Marhaposan

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0003129

Reference16 articles.

1. A.H. Najmi and J. Sadowsky, Johns Hopkins Apl Tech. Dig., 18, 1(1997)

2. Machine learning on waveform spectral analysis of nuclear explosion from broadband seismic station in Indonesia

3. Machine Learning for Waveform Spectral Analysis on Nuclear Explosion Signal and Performance of Broadband Vertical Component

4. Time-frequency misfit and goodness-of-fit criteria for quantitative comparison of time signals

5. M. Nukman, “Geothermal exploration involving structural geology and hydrochemistry in the Tarutung Basin, Northern Central Sumatra (Indonesia) genehmigte Dissertationsschrift Mochamad Nukman MSc aus Banyuwangi (Indonesien) Promotionausschuss: Vorsitzender: Pro,” Dissertation, (2014)

Cited by 1 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. Cluster Analysis and Seismicity of The Samosir Using Machine Learning Approach;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

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