MultiDLFormer: A Vision Transformer-Based Deep Learning Model for Detecting Deep Low-Frequency Earthquakes Across Multiple Stations Article Swipe

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Shinya Katoh , Hiromichi Nagao , Yoshihisa Iio ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.22541/essoar.175147549.93475585/v1

Related Topics

Transformer

Deep Learning

Artificial Intelligence

Computer Science

Seismology

Engineering

Electrical Engineering

Voltage

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Transformer Deep learning Artificial intelligence Computer science Seismology Geology Engineering Electrical engineering Voltage

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Type: preprint
Language: en
Landing Page: https://doi.org/10.22541/essoar.175147549.93475585/v1
PDF: https://essopenarchive.org/doi/pdf/10.22541/essoar.175147549.93475585
OA Status: gold
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OpenAlex ID: https://openalex.org/W4411933519

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DOI: https://doi.org/10.22541/essoar.175147549.93475585/v1

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Title: MultiDLFormer: A Vision Transformer-Based Deep Learning Model for Detecting Deep Low-Frequency Earthquakes Across Multiple Stations

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-07-02

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Authors: Shinya Katoh, Hiromichi Nagao, Yoshihisa Iio

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Landing page: https://doi.org/10.22541/essoar.175147549.93475585/v1

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PDF URL: https://essopenarchive.org/doi/pdf/10.22541/essoar.175147549.93475585

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OA status: gold

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OA URL: https://essopenarchive.org/doi/pdf/10.22541/essoar.175147549.93475585

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Concepts: Transformer, Deep learning, Artificial intelligence, Computer science, Seismology, Geology, Engineering, Electrical engineering, Voltage

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