DEEP LEARNING-BASED CLASSIFICATION OF SEISMIC EVENTS USING WAVEFORM DATA

Artificial Intelligence (AI)-enhanced seismology has evolved to its tremendous capability in analyzing real-time seismic data. This supports various tasks such as earthquake detection, phase detection, epicentral location prediction, time prediction of future earthquakes, phase picking, first motion polarity, early warning systems etc. This is crucial for the management of emergency hazard response spectra and post-disaster activities.

Authors

Publication Details

Journal
Advances and Applications in Discrete Mathematics
Published
2024-11-13
DOI
https://doi.org/10.17654/0974165825002
Citations
1
Primary Topic
Seismology and Earthquake Studies
Type
article
Field-Weighted Citation Impact
0.35
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article

DEEP LEARNING-BASED CLASSIFICATION OF SEISMIC EVENTS USING WAVEFORM DATA

Amita Dev, Manka Vasti
1 citations
Advances and Applications in Discrete Mathematics
Seismology and Earthquake Studies
0.35
article

DEEP LEARNING-BASED CLASSIFICATION OF SEISMIC EVENTS USING WAVEFORM DATA

Amita Dev, Manka Vasti
article en
1 citations

Abstract

Artificial Intelligence (AI)-enhanced seismology has evolved to its tremendous capability in analyzing real-time seismic data. This supports various tasks such as earthquake detection, phase detection, epicentral location prediction, time prediction of future earthquakes, phase picking, first motion polarity, early warning systems etc. This is crucial for the management of emergency hazard response spectra and post-disaster activities.

Advances and Applications in Discrete MathematicsVol. 42(1)
Climate action
Openalex Percentile: Top 32%
Seismology and Earthquake Studies
0.35
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DEEP LEARNING-BASED CLASSIFICATION OF SEISMIC EVENTS USING WAVEFORM DATA — Amita Dev, Manka Vasti · Advances and Applications in Discrete Mathematics (2024) | TGRS Research Map | TGRS