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Showing 1 to 2 of 2 for “"Machine learning in geophysics"”.

  1. APPLICATION OF MACHINE LEARNING IN GEOPHYSICS: RANKING TELESEISMIC SHEAR WAVE SPLITTING MEASUREMENTS AND CLASSIFYING DIFFERENT TYPES OF EARTHQUAKES

    <p>"During the past decades, applications of Machine Learning have been explosively developed to solve various academic and industrial problems, and over-human performance has been shown in diverse areas. In geophysical research, Machine Learning, especially Convolutional Neural Network (CNN), has …

    must-thes Repository record for APPLICATION OF MACHINE LEARNING IN GEOPHYSICS: RANKING TELESEISMIC SHEAR WAVE SPLITTING MEASUREMENTS AND CLASSIFYING DIFFERENT TYPES OF EARTHQUAKES (opens in a new tab)

  2. Physics-based and data-driven inversion of magnetotelluric data for subsurface imaging

    Electromagnetic (EM) geophysical inversion is fundamentally limited by the ill-posed and non-unique nature of the inverse problem, where diffusive physics, limited depth sensitivity, and observational noise lead to broad sensitivity kernels and multiple admissible subsurface models. Conventional …

    woods-hole Repository record for Physics-based and data-driven inversion of magnetotelluric data for subsurface imaging (opens in a new tab)