2-D Seismic Random Noise Attenuation via Self-Paced Nonnegative Dictionary Learning

Automatic Seismic Lithology Interpretation via Multiattribute Integrated Deep Learning

Data-Driven Time-Frequency Method and Its Application in Detection of Free Gas Beneath a Gas Hydrate Deposit

Domain adaptation-based sparse time-frequency analysis and its application on seismic attenuation estimation

Enhancing Seismic Resolution via Hyperbolic Spaces S Transform

Physically Driven Self-supervised Learning and its Applications in Geophysical Inversion

Q Estimation via the Discriminant Method Based on Error Modeling

Reconstructing Regularly Missing Seismic Traces with a Classifier-Guided Diffusion Model

Seismic Absorption Qualitative Indicator via Sparse Group-Lasso-Based Time–Frequency Representation

Seismic Attenuation Estimation Using an Enhanced Log Spectral Ratio Method

Seismic Attenuation Estimation Using the Centroid Frequency Shift and Divergence

Seismic Attenuation Estimation via Unscaled Time–Frequency Representation and Divergence

Seismic Facies Segmentation via a Segformer-Based Specific Encoder–Decoder–Hypercolumns Scheme

Seismic Random Noise Separation and Attenuation Based on MVMD and MSSA

Seismic Sparse Time-Frequency Network With Transfer Learning

Self-supervised time-frequency representation based on generative adversarial networks

Sparse Time–Frequency Analysis of Seismic Data: Sparse Representation to Unrolled Optimization

Sparse time-frequency analysis of seismic data via convolutional neural network

Sparse unscaled time-frequency transform and its application on seismic attenuation delineation

SparseTFNet: A Physically Informed Autoencoder for Sparse Time–Frequency Analysis of Seismic Data

Time-Synchroextracting General Chirplet Transform for Seismic Time–Frequency Analysis

WVDNet: Time-Frequency Analysis via Semi-Supervised Learning