Files and example code for applying pre-trained image-classification CNN models to distinguish earthquake and blast sources.

An archive containing a directory structure, files, and instructions codes for discriminating earthquake and blast events in Eastern Canada This material provides an example and template procedure presented in the article: Chien, J., & Liu, Y. (2025). Effectively Distinguishing Blast and Earthquake Sources in Eastern Canada with Less Dense Seismic Station Coverage See readME.txt for instructions on running the example

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-23
DOI
https://doi.org/10.5281/zenodo.16367228
Primary Topic
Seismology and Earthquake Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Files and example code for applying pre-trained image-classification CNN models to distinguish earthquake and blast sources.

Zenodo (CERN European Organization for Nuclear Research)
Seismology and Earthquake Studies
article

Files and example code for applying pre-trained image-classification CNN models to distinguish earthquake and blast sources.

article en

Abstract

An archive containing a directory structure, files, and instructions codes for discriminating earthquake and blast events in Eastern Canada This material provides an example and template procedure presented in the article: Chien, J., & Liu, Y. (2025). Effectively Distinguishing Blast and Earthquake Sources in Eastern Canada with Less Dense Seismic Station Coverage See readME.txt for instructions on running the example

Zenodo (CERN European Organization for Nuclear Research)
McGill University (CA)
Reduced inequalities
Openalex Percentile: Top 76%
Seismology and Earthquake Studies
DOIOpen Access PDFOpenAlex
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Files and example code for applying pre-trained image-classification CNN models to distinguish earthquake and blast sources. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS