Data augmentation and denoising of magnetotelluric signals based on CS-ResNet

Feasibility of induced magnetic gradient surveying for seepage detection in earth-filled dams: Insights from synthetic and field studies

Atom-profile updating dictionary learning with nucleus sampling attention mechanism sparse coding for audio magnetotelluric denoising

MT2DInv-Unet: A 2D magnetotelluric inversion method based on deep-learning technology

Fast large-scale gravity modeling using a high-order compact cascadic multigrid strategy

IncepTCN: A new deep temporal convolutional network combined with dictionary learning for strong cultural noise elimination of controlled-source electromagnetic data

Magnetotelluric noise suppression via convolutional neural network

Magnetotelluric data denoising method combining two deep-learning-based models

Dictionary learning and shift-invariant sparse coding denoising for controlled-source electromagnetic data combined with complementary ensemble empirical mode decomposition

New analytical expression of the magnetic gradient tensor for homogeneous polyhedrons

A volume-surface integral approach for direct current resistivity problems with topography

Gravity anomalies of arbitrary 3D polyhedral bodies with horizontal and vertical mass contrasts up to cubic order

Closed-form formula of magnetic gradient tensor for a homogeneous polyhedral magnetic target: A tetrahedral grid example

Crustal-scale structure and deformation of Lu-Zong ore district: Joint interpretation from integrated geophysical data

3D direct current resistivity modeling with unstructured mesh by adaptive finite-element method