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DEEP NEURAL NETWORK-BASED AIRBORNE EM DATA INVERSION SUITABLE FOR MOUNTAINOUS FIELD SITES Go to Link

Bang, Minkyu; Byun, Joongmoo; Seol, Soon Jee

ArticleIssue Date2022Citation83rd EAGE Conference and Exhibition 2022, v.2, pp.1288 - 1292PublisherEuropean Association of Geoscientists and Engineers, EAGE

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Deep neural network-based interpretation of frequency-domain electromagnetic data: Dual output of 2D resistivity models and electromagnetic data Go to Link

Bang, Minkyu; Kang, Hyeonwoo; Seol, Soon Jee; Byun, Joongmoo

ArticleIssue Date2025CitationGeophysics, v.90, no.4, pp KS85 - KS108PublisherSociety of Exploration Geophysicists

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Deep-learning-based airborne transient electromagnetic inversion providing the depth of investigation Go to Link

Kang, Hyeonwoo; Bang, Minkyu; Seol, Soon Jee; Byun, Joongmoo

ArticleIssue Date2024CitationGeophysics, v.89, no.2, pp E31 - E45PublisherSociety of Exploration Geophysicists

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Imaging of subsurface orebody with airborne electromagnetic data using a recurrent neural network Go to Link

Bang, Minkyu; Oh, Seokmin; Noh, Kyubo; Seol, Soon Jee; Byun, Joong moo

ArticleIssue Date2020CitationSEG Technical Program Expanded Abstracts, v.2020-October, pp 616 - 620

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Imaging subsurface orebodies with airborne electromagnetic data using a recurrent neural network Go to Link

Bang, Minkyu; Oh, Seokmin; Noh, Kyubo; Seol, Soon Jee; Byun, Joongmoo

ArticleIssue Date2021CitationGeophysics, v.86, no.6, pp E407 - E419PublisherSociety of Exploration Geophysicists

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